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Data sources\n connect your GraphQL API to various backend services like DynamoDB, Lambda,\n HTTP endpoints, and more."},{"name":"create_domain_name","description":"Creates a custom domain name for use with AppSync APIs.\n\n This operation creates a custom domain name that can be associated with\n AppSync APIs, allowing you to use your own domain instead of the default\n AppSync domain. Requires an SSL certificate from AWS Certificate Manager."},{"name":"create_function","description":"Creates a Function object for a GraphQL API.\n\n This operation creates a function for the specified GraphQL API. Functions\n are reusable pieces of resolver logic that can be attached to multiple fields\n in your GraphQL schema."},{"name":"create_graphql_api","description":"Creates a GraphQL API.\n\n This operation creates a new GraphQL API with the specified configuration.\n The API will be created with the authentication type and other settings provided.\n Supports various authentication types including API_KEY, AWS_IAM, AMAZON_COGNITO_USER_POOLS,\n OPENID_CONNECT, and AWS_LAMBDA.\n\n When authentication_type is API_KEY, an API key is automatically created with a 7-day expiry."},{"name":"create_resolver","description":"Creates a resolver for a GraphQL field in an AppSync API.\n\n A resolver is the bridge between your GraphQL schema and your data sources.\n It defines how to fetch or modify data for a specific field in your schema.\n Resolvers can be unit resolvers (attached to a single data source) or\n pipeline resolvers (composed of multiple functions)."},{"name":"create_schema","description":"Creates a GraphQL schema for an AppSync API and polls until completion.\n\n This tool starts the schema creation process and automatically polls for the status\n until the operation completes (either SUCCESS or FAILED). The schema defines the\n structure of your GraphQL API, including types, queries, mutations, and subscriptions."}],"tools_count":10,"secrets":[{"name":"aws-appsync.aws_secret_access_key","env":"AWS_SECRET_ACCESS_KEY","description":"","example":"your-aws-secret-access-key"},{"name":"aws-appsync.aws_session_token","env":"AWS_SESSION_TOKEN","description":"","example":"your-aws-session-token"}],"env":[{"name":"AWS_REGION","value":"{{aws-appsync.aws_region}}"},{"name":"AWS_PROFILE","value":"{{aws-appsync.aws_profile}}"},{"name":"AWS_ACCESS_KEY_ID","value":"{{aws-appsync.aws_access_key_id}}"}],"config_schema":[{"name":"aws-appsync","description":"Configure AWS credentials for AppSync access","type":"object","properties":{"aws_region":{"type":"string"},"aws_profile":{"type":"string"},"aws_access_key_id":{"type":"string"}}}],"oauth":[],"zero_config":false,"needs_setup":true,"tools_after_setup":false,"network":true,"network_source":"catalog","installable":true,"install_reason":"","server_name":"aws-appsync","server_entry":{"command":"docker","args":["run","-i","--rm","--init","--security-opt","no-new-privileges","-e","AWS_ACCESS_KEY_ID","-e","AWS_PROFILE","-e","AWS_REGION","-e","AWS_SECRET_ACCESS_KEY","-e","AWS_SESSION_TOKEN","mcp\/aws-appsync-mcp-server@sha256:5fc57706f27ba16a3bf0e92c72efd332fec1ea93faa2228cc2ea250f0c1b9a54"],"env":{"AWS_ACCESS_KEY_ID":"{secret:aws-appsync.aws_access_key_id}","AWS_PROFILE":"{secret:aws-appsync.aws_profile}","AWS_REGION":"{secret:aws-appsync.aws_region}","AWS_SECRET_ACCESS_KEY":"{secret:aws-appsync.aws_secret_access_key}","AWS_SESSION_TOKEN":"{secret:aws-appsync.aws_session_token}"},"x-labs":{"title":"AWS AppSync","description":"Manage applications powered by AWS AppSync.","icon":"https:\/\/avatars.githubusercontent.com\/u\/3299148?v=4","timeout":30,"tools":[{"name":"create_api","description":"Creates a new AppSync API.\n\n This operation creates a new AppSync API with the specified configuration.\n The API will be created with default settings and can be further configured\n using additional AppSync operations."},{"name":"create_api_cache","description":"Creates a cache for the GraphQL API.\n\n This operation creates an API cache for the specified GraphQL API. Caching improves\n performance by storing frequently requested data and reducing the number of requests\n to data sources."},{"name":"create_api_key","description":"Creates a unique key that you can distribute to clients who invoke your API.\n\n This operation creates an API key for the specified GraphQL API. API keys are used\n to authenticate requests when the API uses API_KEY authentication type."},{"name":"create_channel_namespace","description":"Creates a ChannelNamespace for an Api.\n\n This operation creates a channel namespace for the specified GraphQL API.\n Channel namespaces provide a way to organize and manage real-time subscriptions\n in AppSync APIs, enabling event-driven architectures and real-time data updates."},{"name":"create_datasource","description":"Creates a DataSource object for a GraphQL API.\n\n This operation creates a data source for the specified GraphQL API. Data sources\n connect your GraphQL API to various backend services like DynamoDB, Lambda,\n HTTP endpoints, and more."},{"name":"create_domain_name","description":"Creates a custom domain name for use with AppSync APIs.\n\n This operation creates a custom domain name that can be associated with\n AppSync APIs, allowing you to use your own domain instead of the default\n AppSync domain. Requires an SSL certificate from AWS Certificate Manager."},{"name":"create_function","description":"Creates a Function object for a GraphQL API.\n\n This operation creates a function for the specified GraphQL API. Functions\n are reusable pieces of resolver logic that can be attached to multiple fields\n in your GraphQL schema."},{"name":"create_graphql_api","description":"Creates a GraphQL API.\n\n This operation creates a new GraphQL API with the specified configuration.\n The API will be created with the authentication type and other settings provided.\n Supports various authentication types including API_KEY, AWS_IAM, AMAZON_COGNITO_USER_POOLS,\n OPENID_CONNECT, and AWS_LAMBDA.\n\n When authentication_type is API_KEY, an API key is automatically created with a 7-day expiry."},{"name":"create_resolver","description":"Creates a resolver for a GraphQL field in an AppSync API.\n\n A resolver is the bridge between your GraphQL schema and your data sources.\n It defines how to fetch or modify data for a specific field in your schema.\n Resolvers can be unit resolvers (attached to a single data source) or\n pipeline resolvers (composed of multiple functions)."},{"name":"create_schema","description":"Creates a GraphQL schema for an AppSync API and polls until completion.\n\n This tool starts the schema creation process and automatically polls for the status\n until the operation completes (either SUCCESS or FAILED). The schema defines the\n structure of your GraphQL API, including types, queries, mutations, and subscriptions."}],"config":[{"name":"aws-appsync.aws_secret_access_key","description":"","type":"string","secret":true,"required":true},{"name":"aws-appsync.aws_session_token","description":"","type":"string","secret":true,"required":true},{"name":"aws-appsync.aws_region","description":"","type":"string","secret":false,"required":true},{"name":"aws-appsync.aws_profile","description":"","type":"string","secret":false,"required":true},{"name":"aws-appsync.aws_access_key_id","description":"","type":"string","secret":false,"required":true}],"needs_setup":true,"network":true,"prepull":["mcp\/aws-appsync-mcp-server@sha256:5fc57706f27ba16a3bf0e92c72efd332fec1ea93faa2228cc2ea250f0c1b9a54"]}},"settings":[{"name":"aws-appsync.aws_region","description":"","type":"string","required":true,"example":"","default":""},{"name":"aws-appsync.aws_profile","description":"","type":"string","required":true,"example":"","default":""},{"name":"aws-appsync.aws_access_key_id","description":"","type":"string","required":true,"example":"","default":""}],"docs_url":"https:\/\/desktop.docker.com\/mcp\/catalog\/v3\/readme\/aws-appsync.md"},"source_kind":"docker-mcp-catalog","license":"Apache License 2.0","upstream":"https:\/\/github.com\/awslabs\/mcp","owner":"awslabs","tags":["aws"],"popularity":{"pulls":12822,"stars":0,"github_stars":9769},"readme_url":"https:\/\/desktop.docker.com\/mcp\/catalog\/v3\/readme\/aws-appsync.md","date_added":"2025-11-06T18:02:41Z","packaged_by":"Docker"},{"slug":"mcp-amazon-bedrock-agentcore","name":"AWS Bedrock AgentCore","description":"Documentation on AgentCore platform services.","category":"mcp","publisher":"docker","icon":"","icon_small":"","icon_url":"\/icon\/mcp-amazon-bedrock-agentcore?v=89a543579279.6314dc26","readme":true,"page_url":"https:\/\/store.selfmade.work\/app\/mcp-amazon-bedrock-agentcore","first_party":false,"publisher_verified":true,"updated_at":1791851234,"image":{"state":"built","ref":"mcp\/amazon-bedrock-agentcore-mcp-server@sha256:df610a7a056f8cc625113c65da9ed3791ab68096a50f10f78fcbf899615b74e8","digest":"sha256:df610a7a056f8cc625113c65da9ed3791ab68096a50f10f78fcbf899615b74e8"},"version":"89a543579279bb47d9aae77f578f5fcb4b1e76be","state":"listed","versions":[],"repo_url":"https:\/\/github.com\/awslabs\/mcp\/tree\/636aca8e109b5559006044f035bb89c16e9e5410\/src\/amazon-bedrock-agentcore-mcp-server","requires":{"render":false,"driver":"sysbox","min_plan":null},"categories":["ai","mcp-servers"],"categories_source":"derived","kind":"mcp","installs":0,"pull_count":19967,"tools_count":122,"known_publisher":false,"remote":false,"config_kind":"none","created_at":1762452161,"mcp":{"key":"amazon-bedrock-agentcore","type":"server","transport":"stdio","image":"mcp\/amazon-bedrock-agentcore-mcp-server","digest":"sha256:df610a7a056f8cc625113c65da9ed3791ab68096a50f10f78fcbf899615b74e8","remote_url":"","tools":[{"name":"browser_click","description":"Click an element identified by its accessibility ref.\n\nUse refs from the most recent browser_snapshot or navigation result.\nIf the ref is not found, returns an error with the current page\nsnapshot so you can retry with a correct ref."},{"name":"browser_close","description":"Close the current page.\n\nCloses the active page in the browser session. If multiple tabs\nare open, subsequent tools will use the remaining tab. Use\nstop_browser_session to fully terminate the session."},{"name":"browser_console_messages","description":"Get recent browser console messages.\n\nReturns console log, warning, and error messages captured since\nthe Playwright connection was established. Useful for debugging\nJavaScript errors or inspecting application logging."},{"name":"browser_evaluate","description":"Execute a JavaScript expression in the page context.\n\nThe expression is evaluated in the browser and its return value\nis serialized to JSON. Use this for extracting data, reading\npage state, or performing custom interactions. You can use\nfetch() to make HTTP requests from the browser's origin and cookies."},{"name":"browser_fill_form","description":"Fill multiple form fields in one action.\n\nClears each field before filling. Optionally clicks a submit button\nafter all fields are filled. Returns the page snapshot after completion."},{"name":"browser_handle_dialog","description":"Configure how JavaScript dialogs are handled for a session.\n\nSets a persistent handler for JavaScript dialogs (alert, confirm,\nprompt, beforeunload). Once set, all subsequent dialogs in the\nsession are automatically accepted or dismissed. Call again to\nchange the behavior."},{"name":"browser_hover","description":"Hover over an element identified by its accessibility ref.\n\nUseful for triggering tooltips, dropdown menus, or hover states.\nReturns the page snapshot after hovering."},{"name":"browser_mouse_wheel","description":"Scroll the page by the specified pixel amounts.\n\nDefault scrolls down by 500px (roughly half a viewport). Use negative\ndelta_y to scroll up. Returns the page snapshot after scrolling."},{"name":"browser_navigate","description":"Navigate to a URL in the browser.\n\nLoads the specified URL and returns an accessibility tree snapshot\nof the loaded page. Use the element refs in the snapshot for\nsubsequent interaction tools."},{"name":"browser_navigate_back","description":"Navigate back in browser history.\n\nReturns an accessibility tree snapshot of the previous page."},{"name":"browser_navigate_forward","description":"Navigate forward in browser history.\n\nReturns an accessibility tree snapshot of the next page."},{"name":"browser_network_requests","description":"List recent network requests and their status.\n\nReturns a summary of network requests made by the page, including\nURL, HTTP method, status code, and resource type. Useful for\ndebugging API calls or monitoring page loading."},{"name":"browser_press_key","description":"Press a keyboard key or key combination.\n\nSimulates a key press on the page (not a specific element).\nSupports modifier combinations like \"Control+a\" or \"Meta+c\".\nReturns the page snapshot after the key press."},{"name":"browser_resize","description":"Resize the browser viewport.\n\nChanges the viewport dimensions of the active page. Useful for\ntesting responsive layouts or viewing content at different sizes.\nReturns the page snapshot at the new size."},{"name":"browser_select_option","description":"Select an option from a dropdown or combobox.\n\nProvide one of: value (option value attribute), label (visible text),\nor index (zero-based position). Returns the page snapshot after selection."},{"name":"browser_snapshot","description":"Capture an accessibility tree snapshot of the current page.\n\nReturns a structured text view of the page with element refs.\nUse the refs (e.g., e1, e2) in interaction tools like browser_click\nand browser_type to target specific elements.\n\nExample output:\n - heading \"Sign In\" [ref=e1]\n - textbox \"Email\" [ref=e2]\n - textbox \"Password\" [ref=e3]\n - button \"Sign In\" [ref=e4]"},{"name":"browser_tabs","description":"Manage browser tabs: list, create, select, or close tabs.\n\nActions:\n- \"list\": Show all open tabs with their titles and URLs.\n- \"new\": Open a new tab, optionally navigating to a URL.\n- \"select\": Switch the active tab (subsequent tools use this tab).\n- \"close\": Close a tab by its index."},{"name":"browser_take_screenshot","description":"Capture a visual screenshot of the page.\n\nReturns the screenshot as a base64-encoded PNG image.\nUse this when you need to visually inspect the page rather\nthan reading the accessibility tree."},{"name":"browser_type","description":"Type text into an element identified by its accessibility ref.\n\nBy default, clears the existing content before typing. Set\nclear_first=False to append to existing text. Set submit=True\nto press Enter after typing."},{"name":"browser_upload_file","description":"Upload files to a file input element identified by its ref.\n\nResolves the ref to a file input locator and sets the specified\nfile paths. For cloud AgentCore sessions, paths refer to files\non the remote VM. For local Playwright connections, paths refer\nto files on the local filesystem."},{"name":"browser_wait_for","description":"Wait for text to appear or an element to become visible.\n\nProvide either text or selector. Returns the page snapshot after\nthe condition is met. Raises an error if the timeout is exceeded."},{"name":"create_agent_runtime","description":"Create a new AgentCore Runtime to host an agent or tool.\n\nThis is a one-time setup operation that creates AWS infrastructure\n(IAM role binding, container deployment, endpoint). The DEFAULT\nendpoint is created automatically. Subsequent updates create new\nimmutable versions.\n\n**Cost note:** Creating a runtime provisions infrastructure.\nYou are not billed until sessions are invoked, but the runtime\ndefinition and its resources persist until deleted."},{"name":"create_agent_runtime_endpoint","description":"Create a custom endpoint for an AgentCore Runtime.\n\nEndpoints provide stable access points to specific runtime\nversions. The DEFAULT endpoint is created automatically;\nuse this for additional environments (dev, staging, prod).\n\nThis is a configuration operation with no per-use cost."},{"name":"delete_agent_runtime","description":"Delete an AgentCore Runtime and all its versions.\n\nAll endpoints must be deleted first. Active sessions will be\nterminated. This operation cannot be undone."},{"name":"delete_agent_runtime_endpoint","description":"Delete a runtime endpoint. Cannot delete the DEFAULT endpoint.\n\nThis operation cannot be undone."},{"name":"download_file","description":"Download a file from the sandboxed code interpreter session.\n\nReads the content of a file at the specified path in the session's sandbox."},{"name":"execute_code","description":"Execute code in a sandboxed code interpreter session.\n\nRuns Python, JavaScript, or TypeScript code in the session's sandbox.\nThe execution context (variables, imports) persists across calls within\nthe same session unless clear_context is True."},{"name":"execute_command","description":"Execute a shell command in a sandboxed code interpreter session.\n\nRuns a shell command in the session's sandbox environment."},{"name":"fetch_agentcore_doc","description":"Fetch full document content by URL.\n\nRetrieves complete AgentCore documentation content from URLs found via search_agentcore_docs\nor provided directly. Use this to get full documentation pages including:\n\n- Complete platform overview and service documentation\n- Detailed getting started guides with step-by-step instructions\n- Full API reference documentation\n- Comprehensive tutorial and example code\n- Complete deployment and configuration instructions\n- Integration guides for various frameworks (Strands, LangGraph, CrewAI, etc.)\n\nThis provides the full content when search snippets aren't sufficient for\nunderstanding or implementing AgentCore features."},{"name":"gateway_create","description":"Create a new AgentCore Gateway resource.\n\nCOST WARNING: Creating a gateway provisions AWS infrastructure and\nincurs AWS charges. Gateway invocations are billed separately per\nrequest. A workload identity is also auto-created alongside the\ngateway.\n\nThe gateway starts in CREATING status and transitions to READY when\nready for invocation. Use gateway_get to check status. The returned\ngatewayUrl is the endpoint for MCP invocations; tools are added via\ngateway_target_create.\n\nReturns the created gateway details including its ID, ARN, URL, and\nauto-created workload identity ARN."},{"name":"gateway_delete","description":"Delete an AgentCore Gateway.\n\nWARNING: This permanently deletes the gateway. All associated\ntargets and the auto-created workload identity are removed. Agents\npointing to this gateway's URL will fail to invoke. This action\ncannot be undone.\n\nNote: You may need to delete gateway targets first if the gateway\nhas any; otherwise the API will return a ConflictException."},{"name":"gateway_get","description":"Get details of an AgentCore Gateway.\n\nReturns the gateway including status, authorizer configuration, URL,\nprotocol settings, and associated workload identity. This is a\nread-only operation with no cost implications."},{"name":"gateway_list","description":"List all AgentCore Gateways in the account.\n\nReturns gateway summaries with IDs, names, authorizer types, status,\nand timestamps. This is a read-only operation with no cost\nimplications."},{"name":"gateway_resource_policy_delete","description":"Delete the resource-based policy attached to a gateway.\n\nWARNING: This removes all permissions granted by the resource\npolicy. Principals that relied on the policy for access will no\nlonger be able to invoke the gateway. This action cannot be undone."},{"name":"gateway_resource_policy_get","description":"Get the resource-based policy attached to a gateway.\n\nReturns the raw JSON policy document. This is a read-only operation\nwith no cost implications."},{"name":"gateway_resource_policy_put","description":"Create or update a resource-based policy on a gateway.\n\nCOST WARNING: The policy itself is free, but misconfigured policies\ncan expose a gateway to unintended principals \u2014 review carefully\nbefore applying.\n\nCreates or replaces the resource policy attached to the specified\ngateway. Use this to grant cross-account access or to restrict\naccess beyond what inbound authorization provides."},{"name":"gateway_target_create","description":"Create a new gateway target to expose tools through a gateway.\n\nCOST WARNING: Target creation is free, but tool invocations through\nthe gateway (Lambda calls, REST API calls, MCP server calls) incur\nper-request costs against the underlying services. For mcpServer\ntargets, target creation triggers an implicit synchronization that\ncalls the MCP server's tools\/list \u2014 this may take several minutes\nfor large tool sets.\n\nThe target starts in CREATING status and transitions to READY when\navailable. For mcpServer targets, status may also go through\nSYNCHRONIZING. Use gateway_target_get to check status.\n\nSecurity note: Credential material (API keys, OAuth secrets) is\nNOT accepted directly \u2014 only provider ARNs. Create the credential\nprovider separately using the agentcore CLI or the AgentCore\nIdentity service so secrets never flow through LLM context."},{"name":"gateway_target_delete","description":"Delete a gateway target.\n\nWARNING: This permanently removes the target from the gateway.\nTools exposed via this target will no longer be available to\nagents. This action cannot be undone."},{"name":"gateway_target_get","description":"Get details of a gateway target.\n\nReturns the target including status, credential provider config,\ntarget configuration, metadata configuration, and sync timestamps.\nThis is a read-only operation with no cost implications."},{"name":"gateway_target_list","description":"List all targets attached to a gateway.\n\nReturns target summaries with IDs, names, status, and timestamps.\nThis is a read-only operation with no cost implications."},{"name":"gateway_target_synchronize","description":"Explicitly synchronize gateway targets with their upstream tool catalog.\n\nCOST WARNING: Synchronization calls the MCP server's tools\/list\nendpoint and re-indexes the tool catalog (including rebuilding\nsemantic search embeddings if enabled). This incurs compute costs\nand can take several minutes for large tool sets. The API returns\na 202 response and processes asynchronously \u2014 monitor progress via\ngateway_target_get.\n\nUse this for mcpServer targets when the upstream MCP server has\nadded, removed, or changed tools. CreateGatewayTarget and\nUpdateGatewayTarget already trigger implicit synchronization, so\nthis is only needed when the upstream catalog changes independently."},{"name":"gateway_target_update","description":"Update an existing gateway target.\n\nCOST WARNING: For mcpServer targets, updating triggers implicit\nsynchronization with the MCP server's tools\/list endpoint, which\ncan take several minutes for large tool sets.\n\nUpdates the target configuration, credentials, metadata, or\ndescription. Returns the updated target details."},{"name":"gateway_update","description":"Update an AgentCore Gateway.\n\nCOST WARNING: Adding or enabling interceptors adds Lambda invocation\ncosts on every gateway request. Policy engine enforcement may also\naffect latency and cost profile.\n\nNote: UpdateGateway requires all fields that were part of the create\ncall \u2014 even ones you aren't changing \u2014 or the existing values will\nbe replaced. Fetch with gateway_get first, then pass through the\nexisting values for fields you don't want to change.\n\nReturns the updated gateway details."},{"name":"get_agent_runtime","description":"Get details of an AgentCore Runtime including its configuration.\n\nThis is a read-only operation with no cost implications."},{"name":"get_agent_runtime_endpoint","description":"Get details of a specific runtime endpoint.\n\nRead-only, no cost implications."},{"name":"get_browser_session","description":"Get the status and metadata of a browser session.\n\nReturns session status, stream endpoints, viewport dimensions,\nand creation timestamp."},{"name":"get_code_interpreter_session","description":"Get the status and details of a code interpreter session."},{"name":"get_gateway_guide","description":"Get the comprehensive AgentCore Gateway guide.\n\nReturns a detailed reference covering: prerequisites, tool cost\ntiers, excluded operations and security notes, CLI commands,\nagentcore.json schema, target types, common patterns, debugging,\ntroubleshooting, IAM permissions, and migration notes.\n\nThis is a read-only operation with no cost implications."},{"name":"get_identity_guide","description":"Get the comprehensive AgentCore Identity guide.\n\nReturns a detailed reference covering: prerequisites, cost tiers,\ndata-plane exclusion rationale, CLI commands, agentcore.json\nschema, OAuth2 provider config shapes, common patterns,\ntroubleshooting, IAM permissions, and migration notes.\n\nThis is a read-only operation with no cost implications."},{"name":"get_memory_guide","description":"Get the comprehensive AgentCore Memory guide.\n\nReturns a detailed reference covering: CLI commands, agentcore.json\nschema, memory strategies, cost tiers, common patterns,\ntroubleshooting, IAM permissions, and migration notes.\n\nThis is a read-only operation with no cost implications."},{"name":"get_policy_guide","description":"Get the comprehensive AgentCore Policy guide.\n\nReturns a detailed reference covering: CLI commands,\nagentcore.json schema, Cedar policy concepts, policy generation\nworkflow, cost tiers, common patterns, troubleshooting, IAM\npermissions, and migration notes.\n\nThis is a read-only operation with no cost implications."},{"name":"get_runtime_guide","description":"Get a comprehensive reference guide for AgentCore Runtime.\n\nCovers CLI commands, agentcore.json schema, protocol contracts,\nsession lifecycle, IAM permissions, cost tiers, common patterns,\ntroubleshooting, and migration notes.\n\nRead-only, no cost implications."},{"name":"identity_create_api_key_provider","description":"Create an API key credential provider in AgentCore Identity.\n\nCOST WARNING: Creates a secret in AWS Secrets Manager (backing the\ncredential provider) and incurs Secrets Manager storage charges.\n\nSECURITY NOTE: The api_key parameter value flows through LLM\ncontext when this tool is called by an AI assistant. For\nproduction secrets, strongly prefer the CLI:\n agentcore add credential --name --api-key \nThe CLI accepts the key without it entering LLM conversation\nhistory. Use this MCP tool for test credentials, automation\nfrom controlled contexts, or when the key is already known to\nthe caller.\n\nReturns the created provider's ARN and Secrets Manager secret ARN."},{"name":"identity_create_oauth2_provider","description":"Create an OAuth2 credential provider in AgentCore Identity.\n\nCOST WARNING: Creates a secret in AWS Secrets Manager (holding the\nclient_secret) and incurs Secrets Manager storage charges.\n\nSECURITY NOTE: The clientSecret inside oauth2_provider_config_input\nflows through LLM context when this tool is called by an AI\nassistant. For production secrets, strongly prefer the CLI:\n agentcore add credential --name --type oauth \\\n --discovery-url --client-id \\\n --client-secret --scopes \nThe CLI accepts the secret without it entering LLM conversation\nhistory. Use this MCP tool for test providers, automation from\ncontrolled contexts, or when the client_secret is already known\nto the caller.\n\nThe response includes a callbackUrl \u2014 the OAuth2 redirect URI you\nmust register with the external provider."},{"name":"identity_create_workload_identity","description":"Create a new AgentCore workload identity.\n\nCOST WARNING: Creates a workload identity resource in AgentCore\nIdentity. Workload identities themselves are free, but the\nworkload access tokens they issue are used to retrieve stored\ncredentials from the token vault.\n\nReturns the created workload identity details including its ARN."},{"name":"identity_delete_api_key_provider","description":"Permanently delete an API key credential provider.\n\nWARNING: This permanently deletes the credential provider and its\nbacking secret. Any agents or workloads retrieving the key via\nthis provider will fail. This action cannot be undone."},{"name":"identity_delete_oauth2_provider","description":"Permanently delete an OAuth2 credential provider.\n\nWARNING: This permanently deletes the credential provider and its\nbacking secret. Any agents or workloads retrieving tokens via\nthis provider will fail. Any stored 3LO user consents tied to\nthis provider are lost. This action cannot be undone."},{"name":"identity_delete_resource_policy","description":"Permanently delete the resource-based policy on an AgentCore resource.\n\nWARNING: Removes ALL access-control statements from the target\nresource. After deletion, only principals authorized by\nidentity-based IAM policies (not resource-based policies) can\ninvoke or manage the resource. This action cannot be undone."},{"name":"identity_delete_workload_identity","description":"Permanently delete an AgentCore workload identity.\n\nWARNING: This permanently deletes the workload identity. Any\nagents or code relying on this identity will no longer be able\nto authenticate. This action cannot be undone."},{"name":"identity_get_api_key_provider","description":"Get metadata for an API key credential provider.\n\nReturns the provider ARN, the ARN of the backing Secrets Manager\nsecret, and timestamps. Does NOT return the API key value itself\n\u2014 that is only retrievable at runtime by workloads with a valid\nworkload identity token (via the SDK, not via MCP).\n\nThis is a read-only operation with no cost implications."},{"name":"identity_get_oauth2_provider","description":"Get metadata for an OAuth2 credential provider.\n\nReturns the provider ARN, vendor, callback URL, Secrets Manager\nsecret ARN, OAuth2 discovery output, and timestamps. Does NOT\nreturn the client_secret value \u2014 that is stored in Secrets\nManager and only used server-side during token exchanges.\n\nThis is a read-only operation with no cost implications."},{"name":"identity_get_resource_policy","description":"Get the resource-based policy attached to an AgentCore resource.\n\nReturns the policy as a JSON object. If no policy is attached,\nreturns a success response with an empty policy. This is a\nread-only operation with no cost implications."},{"name":"identity_get_token_vault","description":"Get details of an AgentCore Identity token vault.\n\nReturns the token vault ID, KMS configuration (key type and key\nARN), and last-modified timestamp. This is a read-only operation\nwith no cost implications."},{"name":"identity_get_workload_identity","description":"Get details of an AgentCore workload identity.\n\nReturns the workload identity including allowed OAuth2 return\nURLs, ARN, and timestamps. This is a read-only operation with\nno cost implications."},{"name":"identity_list_api_key_providers","description":"List API key credential providers in the account.\n\nReturns provider summaries with names, ARNs, and timestamps.\nDoes NOT return API key values. This is a read-only operation\nwith no cost implications."},{"name":"identity_list_oauth2_providers","description":"List OAuth2 credential providers in the account.\n\nReturns provider summaries with names, ARNs, vendors, and\ntimestamps. Does NOT return client secrets. This is a read-only\noperation with no cost implications."},{"name":"identity_list_workload_identities","description":"List AgentCore workload identities in the account.\n\nReturns workload identity summaries with names and ARNs. This\nis a read-only operation with no cost implications."},{"name":"identity_put_resource_policy","description":"Create or replace the resource-based policy on an AgentCore resource.\n\nACCESS CONTROL WARNING: This modifies who can invoke or manage\nthe target resource. Overly permissive policies (e.g. broad\nPrincipal wildcards or cross-account access) can expose the\nresource to unintended callers. Review policy documents\ncarefully before applying, and prefer least-privilege\nstatements scoped to specific principals and actions.\n\nThis is an idempotent replace \u2014 it overwrites any existing\npolicy on the resource."},{"name":"identity_set_token_vault_cmk","description":"Set the customer master key (CMK) for an AgentCore Identity token vault.\n\nCOST WARNING: Switching to a CustomerManagedKey incurs AWS KMS\ncharges for every encryption and decryption request against\nsecrets in the vault (each stored credential). Switching back\nto ServiceManagedKey stops these KMS charges.\n\nSECURITY NOTE: This operation changes how credentials stored in\nthe vault are encrypted. Ensure the KMS key policy grants the\nAgentCore service principal the necessary permissions\n(kms:Decrypt, kms:Encrypt, kms:GenerateDataKey, kms:DescribeKey)\nbefore switching to a CustomerManagedKey, or stored credentials\nwill become inaccessible."},{"name":"identity_update_api_key_provider","description":"Update the API key stored in an existing credential provider.\n\nCOST WARNING: Rotates the secret in AWS Secrets Manager. Continues\nto incur Secrets Manager storage charges.\n\nSECURITY NOTE: The api_key parameter value flows through LLM\ncontext when this tool is called by an AI assistant. For\nproduction key rotation, strongly prefer the CLI:\n agentcore add credential --name --api-key \n(re-running `add` with the same name rotates the key without\nthe value entering LLM conversation history).\n\nReturns updated provider metadata. The provider ARN is stable."},{"name":"identity_update_oauth2_provider","description":"Update an OAuth2 credential provider's configuration.\n\nCOST WARNING: Rotates the secret in AWS Secrets Manager. Continues\nto incur Secrets Manager storage charges.\n\nSECURITY NOTE: The clientSecret inside oauth2_provider_config_input\nflows through LLM context when this tool is called by an AI\nassistant. For production secret rotation, strongly prefer the\nCLI (re-running `agentcore add credential` with the same name\nrotates the credential without the value entering LLM history).\n\nReturns updated provider metadata. The provider ARN and callback\nURL are stable."},{"name":"identity_update_workload_identity","description":"Update an AgentCore workload identity.\n\nReplaces the allowed OAuth2 return URLs list. This is a config\nchange only \u2014 the workload identity ARN and name are immutable."},{"name":"install_packages","description":"Install Python packages in a sandboxed code interpreter session.\n\nUses pip to install the specified packages in the session's sandbox."},{"name":"invoke_agent_runtime","description":"Invoke an agent hosted in AgentCore Runtime.\n\nSends a request to the agent and returns the response. Each\ninvocation uses or creates a microVM session identified by\nruntime_session_id.\n\n**BILLABLE OPERATION:** This creates or reuses a microVM\nsession that incurs AWS compute charges for the duration of\nthe session. Sessions auto-terminate after the configured\nidle timeout (default 15 minutes). Use stop_runtime_session\nto terminate early and save costs."},{"name":"list_agent_runtime_endpoints","description":"List all endpoints for an AgentCore Runtime.\n\nRead-only, no cost implications."},{"name":"list_agent_runtime_versions","description":"List all versions of a specific AgentCore Runtime.\n\nThis is a read-only operation with no cost implications."},{"name":"list_agent_runtimes","description":"List all AgentCore Runtimes in the account.\n\nThis is a read-only operation with no cost implications."},{"name":"list_browser_sessions","description":"List active browser sessions.\n\nReturns a summary of all browser sessions for the specified\nbrowser resource, including session IDs, status, and creation times."},{"name":"list_code_interpreter_sessions","description":"List code interpreter sessions with optional filtering."},{"name":"memory_batch_create_records","description":"Batch create memory records in an AgentCore Memory resource.\n\nCOST WARNING: Creating memory records consumes storage and\nindexing resources. Each record incurs charges.\n\nCreates up to 100 memory records in a single call. Each record\nmust include content, namespaces, a request identifier, and a\ntimestamp."},{"name":"memory_batch_delete_records","description":"Batch delete memory records from an AgentCore Memory resource.\n\nWARNING: This permanently deletes up to 100 memory records in a\nsingle call. This action cannot be undone."},{"name":"memory_batch_update_records","description":"Batch update memory records in an AgentCore Memory resource.\n\nUpdates up to 100 memory records in a single call. Each record\nmust include its ID and a timestamp."},{"name":"memory_create","description":"Create a new AgentCore Memory resource.\n\nCOST WARNING: Creating a memory resource provisions AWS infrastructure.\nThis incurs AWS charges. Memory strategies that process events\n(extraction, consolidation) consume additional compute resources.\n\nThe memory resource starts in CREATING status and transitions to\nACTIVE when ready. Use memory_get to check status.\n\nReturns the created memory resource details including its ID."},{"name":"memory_create_event","description":"Create an event in an AgentCore Memory resource (short-term memory).\n\nCOST WARNING: Creating events triggers background long-term memory\nextraction if strategies are configured. This consumes compute\nresources and incurs AWS charges.\n\nEvents represent interactions (messages, tool calls) within a session.\nThey are immutable and timestamped."},{"name":"memory_delete","description":"Delete an AgentCore Memory resource.\n\nWARNING: This permanently deletes the memory resource and all\nassociated data (events, memory records, strategies). This\naction cannot be undone."},{"name":"memory_delete_event","description":"Permanently delete an event from an AgentCore Memory resource.\n\nWARNING: This permanently removes the event. This action cannot\nbe undone. Already-extracted long-term memory records are not\naffected."},{"name":"memory_delete_record","description":"Permanently delete a memory record from an AgentCore Memory resource.\n\nWARNING: This permanently removes the memory record. This action\ncannot be undone."},{"name":"memory_get","description":"Get details of an AgentCore Memory resource.\n\nReturns the memory resource including status, strategies,\nconfiguration, and timestamps. This is a read-only operation\nwith no cost implications."},{"name":"memory_get_event","description":"Get a specific event from an AgentCore Memory resource.\n\nRetrieves full event details including payload and metadata.\nThis is a read-only operation with no cost implications."},{"name":"memory_get_record","description":"Get a specific memory record from an AgentCore Memory resource.\n\nReturns the full record including content, metadata, namespaces,\nand strategy ID. This is a read-only operation."},{"name":"memory_list","description":"List all AgentCore Memory resources in the account.\n\nReturns memory summaries with IDs, ARNs, status, and timestamps.\nThis is a read-only operation with no cost implications."},{"name":"memory_list_actors","description":"List all actors in an AgentCore Memory resource.\n\nReturns actor summaries (actor IDs) for the memory. This is\na read-only operation with no cost implications."},{"name":"memory_list_events","description":"List events in an AgentCore Memory resource.\n\nLists events for a specific actor and session with optional\nfiltering by branch or metadata. This is a read-only operation."},{"name":"memory_list_extraction_jobs","description":"List memory extraction jobs for an AgentCore Memory resource.\n\nReturns extraction job metadata including status, actor\/session\nIDs, and failure reasons. This is a read-only operation."},{"name":"memory_list_records","description":"List memory records in an AgentCore Memory resource.\n\nReturns memory record summaries filtered by namespace and\noptionally by strategy. This is a read-only operation."},{"name":"memory_list_sessions","description":"List sessions for an actor in an AgentCore Memory resource.\n\nReturns session summaries with session IDs, actor IDs, and\ncreation timestamps. This is a read-only operation."},{"name":"memory_retrieve_records","description":"Semantic search for memory records in an AgentCore Memory resource.\n\nCOST WARNING: Semantic search invokes embedding and retrieval\ninfrastructure. Each call incurs compute charges.\n\nSearches long-term memory records by semantic similarity to the\nquery. Returns results ordered by relevance score. Use this to\nretrieve contextually relevant memories for agent responses."},{"name":"memory_start_extraction_job","description":"Start (or restart) a memory extraction job.\n\nCOST WARNING: Extraction jobs consume compute resources to\nprocess events and produce memory records. This incurs AWS\ncharges.\n\nTypically used to retry previously failed extraction jobs.\nThe job processes events and produces structured long-term\nmemory records."},{"name":"memory_update","description":"Update an AgentCore Memory resource.\n\nCOST WARNING: Adding new memory strategies may increase processing\ncosts as new strategies will process incoming events.\n\nCan update description, event expiry, execution role, and strategies\n(add, modify, or delete). Returns the updated memory details."},{"name":"policy_create","description":"Create a Cedar policy within an AgentCore Policy Engine.\n\nCOST WARNING: Creating a policy invokes the validation pipeline\nand provisions a billable policy resource. This incurs AWS\ncharges.\n\nPolicies are validated against the Cedar schema derived from\nthe parent policy engine's associated Gateway tools. Create is\nasynchronous \u2014 the policy starts in CREATING and transitions to\nACTIVE or CREATE_FAILED. Poll with policy_get."},{"name":"policy_delete","description":"Delete a Cedar policy.\n\nWARNING: This permanently deletes the policy. Delete is\nasynchronous \u2014 status transitions through DELETING. This\naction cannot be undone."},{"name":"policy_engine_create","description":"Create a new AgentCore Policy Engine.\n\nCOST WARNING: Creating a policy engine provisions AWS\ninfrastructure and incurs AWS charges. The engine starts in\nCREATING status and transitions to ACTIVE when ready. Use\npolicy_engine_get to poll the status.\n\nReturns the created policy engine details including its ID and ARN."},{"name":"policy_engine_delete","description":"Delete an AgentCore Policy Engine.\n\nWARNING: This permanently deletes the policy engine. The engine\nmust not have any associated policies before deletion \u2014 delete\nall policies first with policy_delete, then delete the engine.\nThis action cannot be undone."},{"name":"policy_engine_get","description":"Get details of an AgentCore Policy Engine.\n\nReturns the policy engine including status, encryption config,\nand timestamps. This is a read-only operation with no cost\nimplications."},{"name":"policy_engine_list","description":"List AgentCore Policy Engines in the account.\n\nReturns policy engine summaries with IDs, ARNs, status, and\ntimestamps. This is a read-only operation with no cost\nimplications."},{"name":"policy_engine_update","description":"Update an AgentCore Policy Engine.\n\nCurrently only the description can be updated. The engine's name\nand encryption configuration are immutable after creation."},{"name":"policy_generation_get","description":"Get details of an AgentCore Policy Generation.\n\nReturns the generation including status, findings, and resource\ncontext. Use to poll after policy_generation_start. This is a\nread-only operation with no cost implications."},{"name":"policy_generation_list","description":"List policy generations within a Policy Engine.\n\nReturns policy generation summaries with IDs, ARNs, status,\nresource context, and timestamps. Generated assets auto-delete\nafter 7 days. This is a read-only operation with no cost\nimplications."},{"name":"policy_generation_list_assets","description":"List Cedar policies and findings produced by policy generation.\n\nReturns generated policy assets \u2014 each with its Cedar definition\n(if translatable), the original natural-language fragment, and\nvalidation findings (VALID, INVALID, NOT_TRANSLATABLE, ALLOW_ALL,\nALLOW_NONE, DENY_ALL, DENY_NONE). Use assets with VALID findings\nin policy_create via the \"policyGeneration\" definition variant.\nThis is a read-only operation with no cost implications."},{"name":"policy_generation_start","description":"Start an AI-powered Cedar policy generation from natural language.\n\nCOST WARNING: Policy generation invokes foundation models and\nconsumes significant compute resources. This is typically the\nmost expensive Policy operation per call. Each invocation incurs\nAWS charges.\n\nThe generation is asynchronous \u2014 starts in GENERATING and\ntransitions to GENERATED or GENERATE_FAILED. Poll with\npolicy_generation_get. Generated assets auto-delete after 7\ndays. To persist a generated policy, reference its asset in\npolicy_create via the \"policyGeneration\" union variant."},{"name":"policy_get","description":"Get details of a Cedar policy.\n\nReturns the full policy including its Cedar definition, status,\nand timestamps. This is a read-only operation with no cost\nimplications. Use to poll status after create\/update\/delete."},{"name":"policy_list","description":"List Cedar policies within a Policy Engine.\n\nReturns policy summaries with IDs, ARNs, definitions, status,\nand timestamps. Optionally filter by target resource scope\n(e.g. a Gateway ARN). This is a read-only operation with no\ncost implications."},{"name":"policy_update","description":"Update a Cedar policy.\n\nCOST WARNING: Updating a policy re-invokes the validation\npipeline and consumes compute resources. This incurs AWS\ncharges.\n\nUpdate is asynchronous \u2014 status transitions through UPDATING.\nPoll with policy_get."},{"name":"search_agentcore_docs","description":"Search curated AgentCore documentation and return ranked results with snippets.\n\nThis tool provides access to the complete Amazon Bedrock AgentCore documentation including:\n\n**Platform Overview:**\n- What is Bedrock AgentCore, security overview, quotas and limits\n\n**Platform Services:**\n- AgentCore Runtime (serverless deployment and scaling)\n- AgentCore Memory (persistent knowledge with event and semantic memory)\n- AgentCore Code Interpreter (secure code execution in isolated sandboxes)\n- AgentCore Browser (fast, secure cloud-based browser for web interaction)\n- AgentCore Gateway (transform existing APIs into agent tools)\n- AgentCore Observability (real-time monitoring and tracing)\n- AgentCore Identity (secure authentication and access management)\n\n**Getting Started:**\n- Prerequisites & environment setup\n- Building your first agent or transforming existing code\n- Local development & testing\n- Deployment to AgentCore using CLI\n- Troubleshooting & enhancement\n\n**Examples & Tutorials:**\n- "},{"name":"start_browser_session","description":"Start a cloud browser session via Amazon Bedrock AgentCore.\n\nCreates an isolated browser session running in a Firecracker microVM.\nReturns the session ID and automation stream URL for subsequent browser\ninteraction tools.\n\nUsage:\n1. Call this tool first to start a browser session.\n2. Use the returned session_id with browser interaction tools\n (browser_navigate, browser_click, browser_snapshot, etc.).\n3. Call stop_browser_session when done."},{"name":"start_code_interpreter_session","description":"Start a new sandboxed code interpreter session.\n\nCreates a new session that can execute code, run commands, and manage files\nin an isolated environment. The session remains active until explicitly\nstopped or until the timeout expires (default DEFAULT_SESSION_TIMEOUT_SECONDS)."},{"name":"stop_browser_session","description":"Stop a browser session and release resources.\n\nTerminates the browser session and its underlying microVM.\nThe session cannot be resumed after stopping."},{"name":"stop_code_interpreter_session","description":"Stop a running code interpreter session and release its resources."},{"name":"stop_runtime_session","description":"Stop a running runtime session to release its microVM.\n\nUse this to terminate sessions early and **save costs** instead\nof waiting for the idle timeout (default 15 minutes). This is\nthe recommended cleanup action after your agent conversation\nis complete.\n\nThis is a cost-saving operation that prevents runaway charges\nfrom idle sessions."},{"name":"update_agent_runtime","description":"Update an AgentCore Runtime, creating a new immutable version.\n\nThe DEFAULT endpoint automatically points to the new version.\nCustom endpoints must be updated separately.\n\n**Cost note:** Updating creates a new version. Active sessions\ncontinue using the previous version until they terminate."},{"name":"update_agent_runtime_endpoint","description":"Update an endpoint to point to a different runtime version.\n\nEnables zero-downtime version transitions and rollbacks.\nConfiguration-only, no per-use cost."},{"name":"upload_file","description":"Upload a file to the sandboxed code interpreter session.\n\nCreates or overwrites a file at the specified path in the session's sandbox\nwith the given content. Path must be relative (e.g. 'data\/input.csv').\nThe SDK raises ValueError for absolute paths.\n\nFor binary files, pass the content as a base64-encoded string. The sandbox\ncan then decode it, e.g. via ``import base64; data = base64.b64decode(content)``."}],"tools_count":122,"secrets":[],"env":[],"config_schema":[],"oauth":[],"zero_config":true,"needs_setup":false,"tools_after_setup":false,"network":true,"network_source":"catalog","installable":true,"install_reason":"","server_name":"amazon-bedrock-agentcore","server_entry":{"command":"docker","args":["run","-i","--rm","--init","--security-opt","no-new-privileges","mcp\/amazon-bedrock-agentcore-mcp-server@sha256:df610a7a056f8cc625113c65da9ed3791ab68096a50f10f78fcbf899615b74e8"],"x-labs":{"title":"AWS Bedrock AgentCore","description":"Documentation on AgentCore platform services.","icon":"https:\/\/avatars.githubusercontent.com\/u\/3299148?v=4","timeout":30,"tools":[{"name":"browser_click","description":"Click an element identified by its accessibility ref.\n\nUse refs from the most recent browser_snapshot or navigation result.\nIf the ref is not found, returns an error with the current page\nsnapshot so you can retry with a correct ref."},{"name":"browser_close","description":"Close the current page.\n\nCloses the active page in the browser session. If multiple tabs\nare open, subsequent tools will use the remaining tab. Use\nstop_browser_session to fully terminate the session."},{"name":"browser_console_messages","description":"Get recent browser console messages.\n\nReturns console log, warning, and error messages captured since\nthe Playwright connection was established. Useful for debugging\nJavaScript errors or inspecting application logging."},{"name":"browser_evaluate","description":"Execute a JavaScript expression in the page context.\n\nThe expression is evaluated in the browser and its return value\nis serialized to JSON. Use this for extracting data, reading\npage state, or performing custom interactions. You can use\nfetch() to make HTTP requests from the browser's origin and cookies."},{"name":"browser_fill_form","description":"Fill multiple form fields in one action.\n\nClears each field before filling. Optionally clicks a submit button\nafter all fields are filled. Returns the page snapshot after completion."},{"name":"browser_handle_dialog","description":"Configure how JavaScript dialogs are handled for a session.\n\nSets a persistent handler for JavaScript dialogs (alert, confirm,\nprompt, beforeunload). Once set, all subsequent dialogs in the\nsession are automatically accepted or dismissed. Call again to\nchange the behavior."},{"name":"browser_hover","description":"Hover over an element identified by its accessibility ref.\n\nUseful for triggering tooltips, dropdown menus, or hover states.\nReturns the page snapshot after hovering."},{"name":"browser_mouse_wheel","description":"Scroll the page by the specified pixel amounts.\n\nDefault scrolls down by 500px (roughly half a viewport). Use negative\ndelta_y to scroll up. Returns the page snapshot after scrolling."},{"name":"browser_navigate","description":"Navigate to a URL in the browser.\n\nLoads the specified URL and returns an accessibility tree snapshot\nof the loaded page. Use the element refs in the snapshot for\nsubsequent interaction tools."},{"name":"browser_navigate_back","description":"Navigate back in browser history.\n\nReturns an accessibility tree snapshot of the previous page."},{"name":"browser_navigate_forward","description":"Navigate forward in browser history.\n\nReturns an accessibility tree snapshot of the next page."},{"name":"browser_network_requests","description":"List recent network requests and their status.\n\nReturns a summary of network requests made by the page, including\nURL, HTTP method, status code, and resource type. Useful for\ndebugging API calls or monitoring page loading."},{"name":"browser_press_key","description":"Press a keyboard key or key combination.\n\nSimulates a key press on the page (not a specific element).\nSupports modifier combinations like \"Control+a\" or \"Meta+c\".\nReturns the page snapshot after the key press."},{"name":"browser_resize","description":"Resize the browser viewport.\n\nChanges the viewport dimensions of the active page. Useful for\ntesting responsive layouts or viewing content at different sizes.\nReturns the page snapshot at the new size."},{"name":"browser_select_option","description":"Select an option from a dropdown or combobox.\n\nProvide one of: value (option value attribute), label (visible text),\nor index (zero-based position). Returns the page snapshot after selection."},{"name":"browser_snapshot","description":"Capture an accessibility tree snapshot of the current page.\n\nReturns a structured text view of the page with element refs.\nUse the refs (e.g., e1, e2) in interaction tools like browser_click\nand browser_type to target specific elements.\n\nExample output:\n - heading \"Sign In\" [ref=e1]\n - textbox \"Email\" [ref=e2]\n - textbox \"Password\" [ref=e3]\n - button \"Sign In\" [ref=e4]"},{"name":"browser_tabs","description":"Manage browser tabs: list, create, select, or close tabs.\n\nActions:\n- \"list\": Show all open tabs with their titles and URLs.\n- \"new\": Open a new tab, optionally navigating to a URL.\n- \"select\": Switch the active tab (subsequent tools use this tab).\n- \"close\": Close a tab by its index."},{"name":"browser_take_screenshot","description":"Capture a visual screenshot of the page.\n\nReturns the screenshot as a base64-encoded PNG image.\nUse this when you need to visually inspect the page rather\nthan reading the accessibility tree."},{"name":"browser_type","description":"Type text into an element identified by its accessibility ref.\n\nBy default, clears the existing content before typing. Set\nclear_first=False to append to existing text. Set submit=True\nto press Enter after typing."},{"name":"browser_upload_file","description":"Upload files to a file input element identified by its ref.\n\nResolves the ref to a file input locator and sets the specified\nfile paths. For cloud AgentCore sessions, paths refer to files\non the remote VM. For local Playwright connections, paths refer\nto files on the local filesystem."},{"name":"browser_wait_for","description":"Wait for text to appear or an element to become visible.\n\nProvide either text or selector. Returns the page snapshot after\nthe condition is met. Raises an error if the timeout is exceeded."},{"name":"create_agent_runtime","description":"Create a new AgentCore Runtime to host an agent or tool.\n\nThis is a one-time setup operation that creates AWS infrastructure\n(IAM role binding, container deployment, endpoint). The DEFAULT\nendpoint is created automatically. Subsequent updates create new\nimmutable versions.\n\n**Cost note:** Creating a runtime provisions infrastructure.\nYou are not billed until sessions are invoked, but the runtime\ndefinition and its resources persist until deleted."},{"name":"create_agent_runtime_endpoint","description":"Create a custom endpoint for an AgentCore Runtime.\n\nEndpoints provide stable access points to specific runtime\nversions. The DEFAULT endpoint is created automatically;\nuse this for additional environments (dev, staging, prod).\n\nThis is a configuration operation with no per-use cost."},{"name":"delete_agent_runtime","description":"Delete an AgentCore Runtime and all its versions.\n\nAll endpoints must be deleted first. Active sessions will be\nterminated. This operation cannot be undone."},{"name":"delete_agent_runtime_endpoint","description":"Delete a runtime endpoint. Cannot delete the DEFAULT endpoint.\n\nThis operation cannot be undone."},{"name":"download_file","description":"Download a file from the sandboxed code interpreter session.\n\nReads the content of a file at the specified path in the session's sandbox."},{"name":"execute_code","description":"Execute code in a sandboxed code interpreter session.\n\nRuns Python, JavaScript, or TypeScript code in the session's sandbox.\nThe execution context (variables, imports) persists across calls within\nthe same session unless clear_context is True."},{"name":"execute_command","description":"Execute a shell command in a sandboxed code interpreter session.\n\nRuns a shell command in the session's sandbox environment."},{"name":"fetch_agentcore_doc","description":"Fetch full document content by URL.\n\nRetrieves complete AgentCore documentation content from URLs found via search_agentcore_docs\nor provided directly. Use this to get full documentation pages including:\n\n- Complete platform overview and service documentation\n- Detailed getting started guides with step-by-step instructions\n- Full API reference documentation\n- Comprehensive tutorial and example code\n- Complete deployment and configuration instructions\n- Integration guides for various frameworks ("},{"name":"gateway_create","description":"Create a new AgentCore Gateway resource.\n\nCOST WARNING: Creating a gateway provisions AWS infrastructure and\nincurs AWS charges. Gateway invocations are billed separately per\nrequest. A workload identity is also auto-created alongside the\ngateway.\n\nThe gateway starts in CREATING status and transitions to READY when\nready for invocation. Use gateway_get to check status. The returned\ngatewayUrl is the endpoint for MCP invocations; tools are added via\ngateway_target_create.\n\nReturns the created gat"},{"name":"gateway_delete","description":"Delete an AgentCore Gateway.\n\nWARNING: This permanently deletes the gateway. All associated\ntargets and the auto-created workload identity are removed. Agents\npointing to this gateway's URL will fail to invoke. This action\ncannot be undone.\n\nNote: You may need to delete gateway targets first if the gateway\nhas any; otherwise the API will return a ConflictException."},{"name":"gateway_get","description":"Get details of an AgentCore Gateway.\n\nReturns the gateway including status, authorizer configuration, URL,\nprotocol settings, and associated workload identity. This is a\nread-only operation with no cost implications."},{"name":"gateway_list","description":"List all AgentCore Gateways in the account.\n\nReturns gateway summaries with IDs, names, authorizer types, status,\nand timestamps. This is a read-only operation with no cost\nimplications."},{"name":"gateway_resource_policy_delete","description":"Delete the resource-based policy attached to a gateway.\n\nWARNING: This removes all permissions granted by the resource\npolicy. Principals that relied on the policy for access will no\nlonger be able to invoke the gateway. This action cannot be undone."},{"name":"gateway_resource_policy_get","description":"Get the resource-based policy attached to a gateway.\n\nReturns the raw JSON policy document. This is a read-only operation\nwith no cost implications."},{"name":"gateway_resource_policy_put","description":"Create or update a resource-based policy on a gateway.\n\nCOST WARNING: The policy itself is free, but misconfigured policies\ncan expose a gateway to unintended principals \u2014 review carefully\nbefore applying.\n\nCreates or replaces the resource policy attached to the specified\ngateway. Use this to grant cross-account access or to restrict\naccess beyond what inbound authorization provides."},{"name":"gateway_target_create","description":"Create a new gateway target to expose tools through a gateway.\n\nCOST WARNING: Target creation is free, but tool invocations through\nthe gateway (Lambda calls, REST API calls, MCP server calls) incur\nper-request costs against the underlying services. For mcpServer\ntargets, target creation triggers an implicit synchronization that\ncalls the MCP server's tools\/list \u2014 this may take several minutes\nfor large tool sets.\n\nThe target starts in CREATING status and transitions to READY when\navailable. For"},{"name":"gateway_target_delete","description":"Delete a gateway target.\n\nWARNING: This permanently removes the target from the gateway.\nTools exposed via this target will no longer be available to\nagents. This action cannot be undone."},{"name":"gateway_target_get","description":"Get details of a gateway target.\n\nReturns the target including status, credential provider config,\ntarget configuration, metadata configuration, and sync timestamps.\nThis is a read-only operation with no cost implications."},{"name":"gateway_target_list","description":"List all targets attached to a gateway.\n\nReturns target summaries with IDs, names, status, and timestamps.\nThis is a read-only operation with no cost implications."},{"name":"gateway_target_synchronize","description":"Explicitly synchronize gateway targets with their upstream tool catalog.\n\nCOST WARNING: Synchronization calls the MCP server's tools\/list\nendpoint and re-indexes the tool catalog (including rebuilding\nsemantic search embeddings if enabled). This incurs compute costs\nand can take several minutes for large tool sets. The API returns\na 202 response and processes asynchronously \u2014 monitor progress via\ngateway_target_get.\n\nUse this for mcpServer targets when the upstream MCP server has\nadded, removed,"},{"name":"gateway_target_update","description":"Update an existing gateway target.\n\nCOST WARNING: For mcpServer targets, updating triggers implicit\nsynchronization with the MCP server's tools\/list endpoint, which\ncan take several minutes for large tool sets.\n\nUpdates the target configuration, credentials, metadata, or\ndescription. Returns the updated target details."},{"name":"gateway_update","description":"Update an AgentCore Gateway.\n\nCOST WARNING: Adding or enabling interceptors adds Lambda invocation\ncosts on every gateway request. Policy engine enforcement may also\naffect latency and cost profile.\n\nNote: UpdateGateway requires all fields that were part of the create\ncall \u2014 even ones you aren't changing \u2014 or the existing values will\nbe replaced. Fetch with gateway_get first, then pass through the\nexisting values for fields you don't want to change.\n\nReturns the updated gateway details."},{"name":"get_agent_runtime","description":"Get details of an AgentCore Runtime including its configuration.\n\nThis is a read-only operation with no cost implications."},{"name":"get_agent_runtime_endpoint","description":"Get details of a specific runtime endpoint.\n\nRead-only, no cost implications."},{"name":"get_browser_session","description":"Get the status and metadata of a browser session.\n\nReturns session status, stream endpoints, viewport dimensions,\nand creation timestamp."},{"name":"get_code_interpreter_session","description":"Get the status and details of a code interpreter session."},{"name":"get_gateway_guide","description":"Get the comprehensive AgentCore Gateway guide.\n\nReturns a detailed reference covering: prerequisites, tool cost\ntiers, excluded operations and security notes, CLI commands,\nagentcore.json schema, target types, common patterns, debugging,\ntroubleshooting, IAM permissions, and migration notes.\n\nThis is a read-only operation with no cost implications."},{"name":"get_identity_guide","description":"Get the comprehensive AgentCore Identity guide.\n\nReturns a detailed reference covering: prerequisites, cost tiers,\ndata-plane exclusion rationale, CLI commands, agentcore.json\nschema, OAuth2 provider config shapes, common patterns,\ntroubleshooting, IAM permissions, and migration notes.\n\nThis is a read-only operation with no cost implications."},{"name":"get_memory_guide","description":"Get the comprehensive AgentCore Memory guide.\n\nReturns a detailed reference covering: CLI commands, agentcore.json\nschema, memory strategies, cost tiers, common patterns,\ntroubleshooting, IAM permissions, and migration notes.\n\nThis is a read-only operation with no cost implications."},{"name":"get_policy_guide","description":"Get the comprehensive AgentCore Policy guide.\n\nReturns a detailed reference covering: CLI commands,\nagentcore.json schema, Cedar policy concepts, policy generation\nworkflow, cost tiers, common patterns, troubleshooting, IAM\npermissions, and migration notes.\n\nThis is a read-only operation with no cost implications."},{"name":"get_runtime_guide","description":"Get a comprehensive reference guide for AgentCore Runtime.\n\nCovers CLI commands, agentcore.json schema, protocol contracts,\nsession lifecycle, IAM permissions, cost tiers, common patterns,\ntroubleshooting, and migration notes.\n\nRead-only, no cost implications."},{"name":"identity_create_api_key_provider","description":"Create an API key credential provider in AgentCore Identity.\n\nCOST WARNING: Creates a secret in AWS Secrets Manager (backing the\ncredential provider) and incurs Secrets Manager storage charges.\n\nSECURITY NOTE: The api_key parameter value flows through LLM\ncontext when this tool is called by an AI assistant. For\nproduction secrets, strongly prefer the CLI:\n agentcore add credential --name --api-key \nThe CLI accepts the key without it entering LLM conversation\nhistory. Use this MCP too"},{"name":"identity_create_oauth2_provider","description":"Create an OAuth2 credential provider in AgentCore Identity.\n\nCOST WARNING: Creates a secret in AWS Secrets Manager (holding the\nclient_secret) and incurs Secrets Manager storage charges.\n\nSECURITY NOTE: The clientSecret inside oauth2_provider_config_input\nflows through LLM context when this tool is called by an AI\nassistant. For production secrets, strongly prefer the CLI:\n agentcore add credential --name --type oauth \\\n --discovery-url --client-id \\\n --client-secret "},{"name":"identity_create_workload_identity","description":"Create a new AgentCore workload identity.\n\nCOST WARNING: Creates a workload identity resource in AgentCore\nIdentity. Workload identities themselves are free, but the\nworkload access tokens they issue are used to retrieve stored\ncredentials from the token vault.\n\nReturns the created workload identity details including its ARN."},{"name":"identity_delete_api_key_provider","description":"Permanently delete an API key credential provider.\n\nWARNING: This permanently deletes the credential provider and its\nbacking secret. Any agents or workloads retrieving the key via\nthis provider will fail. This action cannot be undone."},{"name":"identity_delete_oauth2_provider","description":"Permanently delete an OAuth2 credential provider.\n\nWARNING: This permanently deletes the credential provider and its\nbacking secret. Any agents or workloads retrieving tokens via\nthis provider will fail. Any stored 3LO user consents tied to\nthis provider are lost. This action cannot be undone."},{"name":"identity_delete_resource_policy","description":"Permanently delete the resource-based policy on an AgentCore resource.\n\nWARNING: Removes ALL access-control statements from the target\nresource. After deletion, only principals authorized by\nidentity-based IAM policies (not resource-based policies) can\ninvoke or manage the resource. This action cannot be undone."},{"name":"identity_delete_workload_identity","description":"Permanently delete an AgentCore workload identity.\n\nWARNING: This permanently deletes the workload identity. Any\nagents or code relying on this identity will no longer be able\nto authenticate. This action cannot be undone."},{"name":"identity_get_api_key_provider","description":"Get metadata for an API key credential provider.\n\nReturns the provider ARN, the ARN of the backing Secrets Manager\nsecret, and timestamps. Does NOT return the API key value itself\n\u2014 that is only retrievable at runtime by workloads with a valid\nworkload identity token (via the SDK, not via MCP).\n\nThis is a read-only operation with no cost implications."},{"name":"identity_get_oauth2_provider","description":"Get metadata for an OAuth2 credential provider.\n\nReturns the provider ARN, vendor, callback URL, Secrets Manager\nsecret ARN, OAuth2 discovery output, and timestamps. Does NOT\nreturn the client_secret value \u2014 that is stored in Secrets\nManager and only used server-side during token exchanges.\n\nThis is a read-only operation with no cost implications."},{"name":"identity_get_resource_policy","description":"Get the resource-based policy attached to an AgentCore resource.\n\nReturns the policy as a JSON object. If no policy is attached,\nreturns a success response with an empty policy. This is a\nread-only operation with no cost implications."},{"name":"identity_get_token_vault","description":"Get details of an AgentCore Identity token vault.\n\nReturns the token vault ID, KMS configuration (key type and key\nARN), and last-modified timestamp. This is a read-only operation\nwith no cost implications."},{"name":"identity_get_workload_identity","description":"Get details of an AgentCore workload identity.\n\nReturns the workload identity including allowed OAuth2 return\nURLs, ARN, and timestamps. This is a read-only operation with\nno cost implications."},{"name":"identity_list_api_key_providers","description":"List API key credential providers in the account.\n\nReturns provider summaries with names, ARNs, and timestamps.\nDoes NOT return API key values. This is a read-only operation\nwith no cost implications."},{"name":"identity_list_oauth2_providers","description":"List OAuth2 credential providers in the account.\n\nReturns provider summaries with names, ARNs, vendors, and\ntimestamps. Does NOT return client secrets. This is a read-only\noperation with no cost implications."},{"name":"identity_list_workload_identities","description":"List AgentCore workload identities in the account.\n\nReturns workload identity summaries with names and ARNs. This\nis a read-only operation with no cost implications."},{"name":"identity_put_resource_policy","description":"Create or replace the resource-based policy on an AgentCore resource.\n\nACCESS CONTROL WARNING: This modifies who can invoke or manage\nthe target resource. Overly permissive policies (e.g. broad\nPrincipal wildcards or cross-account access) can expose the\nresource to unintended callers. Review policy documents\ncarefully before applying, and prefer least-privilege\nstatements scoped to specific principals and actions.\n\nThis is an idempotent replace \u2014 it overwrites any existing\npolicy on the resource"},{"name":"identity_set_token_vault_cmk","description":"Set the customer master key (CMK) for an AgentCore Identity token vault.\n\nCOST WARNING: Switching to a CustomerManagedKey incurs AWS KMS\ncharges for every encryption and decryption request against\nsecrets in the vault (each stored credential). Switching back\nto ServiceManagedKey stops these KMS charges.\n\nSECURITY NOTE: This operation changes how credentials stored in\nthe vault are encrypted. Ensure the KMS key policy grants the\nAgentCore service principal the necessary permissions\n(kms:Decrypt, "},{"name":"identity_update_api_key_provider","description":"Update the API key stored in an existing credential provider.\n\nCOST WARNING: Rotates the secret in AWS Secrets Manager. Continues\nto incur Secrets Manager storage charges.\n\nSECURITY NOTE: The api_key parameter value flows through LLM\ncontext when this tool is called by an AI assistant. For\nproduction key rotation, strongly prefer the CLI:\n agentcore add credential --name --api-key \n(re-running `add` with the same name rotates the key without\nthe value entering LLM conversation histor"},{"name":"identity_update_oauth2_provider","description":"Update an OAuth2 credential provider's configuration.\n\nCOST WARNING: Rotates the secret in AWS Secrets Manager. Continues\nto incur Secrets Manager storage charges.\n\nSECURITY NOTE: The clientSecret inside oauth2_provider_config_input\nflows through LLM context when this tool is called by an AI\nassistant. For production secret rotation, strongly prefer the\nCLI (re-running `agentcore add credential` with the same name\nrotates the credential without the value entering LLM history).\n\nReturns updated p"},{"name":"identity_update_workload_identity","description":"Update an AgentCore workload identity.\n\nReplaces the allowed OAuth2 return URLs list. This is a config\nchange only \u2014 the workload identity ARN and name are immutable."},{"name":"install_packages","description":"Install Python packages in a sandboxed code interpreter session.\n\nUses pip to install the specified packages in the session's sandbox."},{"name":"invoke_agent_runtime","description":"Invoke an agent hosted in AgentCore Runtime.\n\nSends a request to the agent and returns the response. Each\ninvocation uses or creates a microVM session identified by\nruntime_session_id.\n\n**BILLABLE OPERATION:** This creates or reuses a microVM\nsession that incurs AWS compute charges for the duration of\nthe session. Sessions auto-terminate after the configured\nidle timeout (default 15 minutes). Use stop_runtime_session\nto terminate early and save costs."},{"name":"list_agent_runtime_endpoints","description":"List all endpoints for an AgentCore Runtime.\n\nRead-only, no cost implications."},{"name":"list_agent_runtime_versions","description":"List all versions of a specific AgentCore Runtime.\n\nThis is a read-only operation with no cost implications."},{"name":"list_agent_runtimes","description":"List all AgentCore Runtimes in the account.\n\nThis is a read-only operation with no cost implications."},{"name":"list_browser_sessions","description":"List active browser sessions.\n\nReturns a summary of all browser sessions for the specified\nbrowser resource, including session IDs, status, and creation times."},{"name":"list_code_interpreter_sessions","description":"List code interpreter sessions with optional filtering."},{"name":"memory_batch_create_records","description":"Batch create memory records in an AgentCore Memory resource.\n\nCOST WARNING: Creating memory records consumes storage and\nindexing resources. Each record incurs charges.\n\nCreates up to 100 memory records in a single call. Each record\nmust include content, namespaces, a request identifier, and a\ntimestamp."},{"name":"memory_batch_delete_records","description":"Batch delete memory records from an AgentCore Memory resource.\n\nWARNING: This permanently deletes up to 100 memory records in a\nsingle call. This action cannot be undone."},{"name":"memory_batch_update_records","description":"Batch update memory records in an AgentCore Memory resource.\n\nUpdates up to 100 memory records in a single call. Each record\nmust include its ID and a timestamp."},{"name":"memory_create","description":"Create a new AgentCore Memory resource.\n\nCOST WARNING: Creating a memory resource provisions AWS infrastructure.\nThis incurs AWS charges. Memory strategies that process events\n(extraction, consolidation) consume additional compute resources.\n\nThe memory resource starts in CREATING status and transitions to\nACTIVE when ready. Use memory_get to check status.\n\nReturns the created memory resource details including its ID."},{"name":"memory_create_event","description":"Create an event in an AgentCore Memory resource (short-term memory).\n\nCOST WARNING: Creating events triggers background long-term memory\nextraction if strategies are configured. This consumes compute\nresources and incurs AWS charges.\n\nEvents represent interactions (messages, tool calls) within a session.\nThey are immutable and timestamped."},{"name":"memory_delete","description":"Delete an AgentCore Memory resource.\n\nWARNING: This permanently deletes the memory resource and all\nassociated data (events, memory records, strategies). This\naction cannot be undone."},{"name":"memory_delete_event","description":"Permanently delete an event from an AgentCore Memory resource.\n\nWARNING: This permanently removes the event. This action cannot\nbe undone. Already-extracted long-term memory records are not\naffected."},{"name":"memory_delete_record","description":"Permanently delete a memory record from an AgentCore Memory resource.\n\nWARNING: This permanently removes the memory record. This action\ncannot be undone."},{"name":"memory_get","description":"Get details of an AgentCore Memory resource.\n\nReturns the memory resource including status, strategies,\nconfiguration, and timestamps. This is a read-only operation\nwith no cost implications."},{"name":"memory_get_event","description":"Get a specific event from an AgentCore Memory resource.\n\nRetrieves full event details including payload and metadata.\nThis is a read-only operation with no cost implications."},{"name":"memory_get_record","description":"Get a specific memory record from an AgentCore Memory resource.\n\nReturns the full record including content, metadata, namespaces,\nand strategy ID. This is a read-only operation."},{"name":"memory_list","description":"List all AgentCore Memory resources in the account.\n\nReturns memory summaries with IDs, ARNs, status, and timestamps.\nThis is a read-only operation with no cost implications."},{"name":"memory_list_actors","description":"List all actors in an AgentCore Memory resource.\n\nReturns actor summaries (actor IDs) for the memory. This is\na read-only operation with no cost implications."},{"name":"memory_list_events","description":"List events in an AgentCore Memory resource.\n\nLists events for a specific actor and session with optional\nfiltering by branch or metadata. This is a read-only operation."},{"name":"memory_list_extraction_jobs","description":"List memory extraction jobs for an AgentCore Memory resource.\n\nReturns extraction job metadata including status, actor\/session\nIDs, and failure reasons. This is a read-only operation."},{"name":"memory_list_records","description":"List memory records in an AgentCore Memory resource.\n\nReturns memory record summaries filtered by namespace and\noptionally by strategy. This is a read-only operation."},{"name":"memory_list_sessions","description":"List sessions for an actor in an AgentCore Memory resource.\n\nReturns session summaries with session IDs, actor IDs, and\ncreation timestamps. This is a read-only operation."},{"name":"memory_retrieve_records","description":"Semantic search for memory records in an AgentCore Memory resource.\n\nCOST WARNING: Semantic search invokes embedding and retrieval\ninfrastructure. Each call incurs compute charges.\n\nSearches long-term memory records by semantic similarity to the\nquery. Returns results ordered by relevance score. Use this to\nretrieve contextually relevant memories for agent responses."},{"name":"memory_start_extraction_job","description":"Start (or restart) a memory extraction job.\n\nCOST WARNING: Extraction jobs consume compute resources to\nprocess events and produce memory records. This incurs AWS\ncharges.\n\nTypically used to retry previously failed extraction jobs.\nThe job processes events and produces structured long-term\nmemory records."},{"name":"memory_update","description":"Update an AgentCore Memory resource.\n\nCOST WARNING: Adding new memory strategies may increase processing\ncosts as new strategies will process incoming events.\n\nCan update description, event expiry, execution role, and strategies\n(add, modify, or delete). Returns the updated memory details."},{"name":"policy_create","description":"Create a Cedar policy within an AgentCore Policy Engine.\n\nCOST WARNING: Creating a policy invokes the validation pipeline\nand provisions a billable policy resource. This incurs AWS\ncharges.\n\nPolicies are validated against the Cedar schema derived from\nthe parent policy engine's associated Gateway tools. Create is\nasynchronous \u2014 the policy starts in CREATING and transitions to\nACTIVE or CREATE_FAILED. Poll with policy_get."},{"name":"policy_delete","description":"Delete a Cedar policy.\n\nWARNING: This permanently deletes the policy. Delete is\nasynchronous \u2014 status transitions through DELETING. This\naction cannot be undone."},{"name":"policy_engine_create","description":"Create a new AgentCore Policy Engine.\n\nCOST WARNING: Creating a policy engine provisions AWS\ninfrastructure and incurs AWS charges. The engine starts in\nCREATING status and transitions to ACTIVE when ready. Use\npolicy_engine_get to poll the status.\n\nReturns the created policy engine details including its ID and ARN."},{"name":"policy_engine_delete","description":"Delete an AgentCore Policy Engine.\n\nWARNING: This permanently deletes the policy engine. The engine\nmust not have any associated policies before deletion \u2014 delete\nall policies first with policy_delete, then delete the engine.\nThis action cannot be undone."},{"name":"policy_engine_get","description":"Get details of an AgentCore Policy Engine.\n\nReturns the policy engine including status, encryption config,\nand timestamps. This is a read-only operation with no cost\nimplications."},{"name":"policy_engine_list","description":"List AgentCore Policy Engines in the account.\n\nReturns policy engine summaries with IDs, ARNs, status, and\ntimestamps. This is a read-only operation with no cost\nimplications."},{"name":"policy_engine_update","description":"Update an AgentCore Policy Engine.\n\nCurrently only the description can be updated. The engine's name\nand encryption configuration are immutable after creation."},{"name":"policy_generation_get","description":"Get details of an AgentCore Policy Generation.\n\nReturns the generation including status, findings, and resource\ncontext. Use to poll after policy_generation_start. This is a\nread-only operation with no cost implications."},{"name":"policy_generation_list","description":"List policy generations within a Policy Engine.\n\nReturns policy generation summaries with IDs, ARNs, status,\nresource context, and timestamps. Generated assets auto-delete\nafter 7 days. This is a read-only operation with no cost\nimplications."},{"name":"policy_generation_list_assets","description":"List Cedar policies and findings produced by policy generation.\n\nReturns generated policy assets \u2014 each with its Cedar definition\n(if translatable), the original natural-language fragment, and\nvalidation findings (VALID, INVALID, NOT_TRANSLATABLE, ALLOW_ALL,\nALLOW_NONE, DENY_ALL, DENY_NONE). Use assets with VALID findings\nin policy_create via the \"policyGeneration\" definition variant.\nThis is a read-only operation with no cost implications."},{"name":"policy_generation_start","description":"Start an AI-powered Cedar policy generation from natural language.\n\nCOST WARNING: Policy generation invokes foundation models and\nconsumes significant compute resources. This is typically the\nmost expensive Policy operation per call. Each invocation incurs\nAWS charges.\n\nThe generation is asynchronous \u2014 starts in GENERATING and\ntransitions to GENERATED or GENERATE_FAILED. Poll with\npolicy_generation_get. Generated assets auto-delete after 7\ndays. To persist a generated policy, reference its asset"},{"name":"policy_get","description":"Get details of a Cedar policy.\n\nReturns the full policy including its Cedar definition, status,\nand timestamps. This is a read-only operation with no cost\nimplications. Use to poll status after create\/update\/delete."},{"name":"policy_list","description":"List Cedar policies within a Policy Engine.\n\nReturns policy summaries with IDs, ARNs, definitions, status,\nand timestamps. Optionally filter by target resource scope\n(e.g. a Gateway ARN). This is a read-only operation with no\ncost implications."},{"name":"policy_update","description":"Update a Cedar policy.\n\nCOST WARNING: Updating a policy re-invokes the validation\npipeline and consumes compute resources. This incurs AWS\ncharges.\n\nUpdate is asynchronous \u2014 status transitions through UPDATING.\nPoll with policy_get."},{"name":"search_agentcore_docs","description":"Search curated AgentCore documentation and return ranked results with snippets.\n\nThis tool provides access to the complete Amazon Bedrock AgentCore documentation including:\n\n**Platform Overview:**\n- What is Bedrock AgentCore, security overview, quotas and limits\n\n**Platform Services:**\n- AgentCore Runtime (serverless deployment and scaling)\n- AgentCore Memory (persistent knowledge with event and semantic memory)\n- AgentCore Code Interpreter (secure code execution in isolated sandboxes)\n- AgentCo"},{"name":"start_browser_session","description":"Start a cloud browser session via Amazon Bedrock AgentCore.\n\nCreates an isolated browser session running in a Firecracker microVM.\nReturns the session ID and automation stream URL for subsequent browser\ninteraction tools.\n\nUsage:\n1. Call this tool first to start a browser session.\n2. Use the returned session_id with browser interaction tools\n (browser_navigate, browser_click, browser_snapshot, etc.).\n3. Call stop_browser_session when done."},{"name":"start_code_interpreter_session","description":"Start a new sandboxed code interpreter session.\n\nCreates a new session that can execute code, run commands, and manage files\nin an isolated environment. The session remains active until explicitly\nstopped or until the timeout expires (default DEFAULT_SESSION_TIMEOUT_SECONDS)."},{"name":"stop_browser_session","description":"Stop a browser session and release resources.\n\nTerminates the browser session and its underlying microVM.\nThe session cannot be resumed after stopping."},{"name":"stop_code_interpreter_session","description":"Stop a running code interpreter session and release its resources."},{"name":"stop_runtime_session","description":"Stop a running runtime session to release its microVM.\n\nUse this to terminate sessions early and **save costs** instead\nof waiting for the idle timeout (default 15 minutes). This is\nthe recommended cleanup action after your agent conversation\nis complete.\n\nThis is a cost-saving operation that prevents runaway charges\nfrom idle sessions."},{"name":"update_agent_runtime","description":"Update an AgentCore Runtime, creating a new immutable version.\n\nThe DEFAULT endpoint automatically points to the new version.\nCustom endpoints must be updated separately.\n\n**Cost note:** Updating creates a new version. Active sessions\ncontinue using the previous version until they terminate."},{"name":"update_agent_runtime_endpoint","description":"Update an endpoint to point to a different runtime version.\n\nEnables zero-downtime version transitions and rollbacks.\nConfiguration-only, no per-use cost."},{"name":"upload_file","description":"Upload a file to the sandboxed code interpreter session.\n\nCreates or overwrites a file at the specified path in the session's sandbox\nwith the given content. Path must be relative (e.g. 'data\/input.csv').\nThe SDK raises ValueError for absolute paths.\n\nFor binary files, pass the content as a base64-encoded string. The sandbox\ncan then decode it, e.g. via ``import base64; data = base64.b64decode(content)``."}],"config":[],"needs_setup":false,"network":true,"prepull":["mcp\/amazon-bedrock-agentcore-mcp-server@sha256:df610a7a056f8cc625113c65da9ed3791ab68096a50f10f78fcbf899615b74e8"]}},"settings":[],"docs_url":"https:\/\/desktop.docker.com\/mcp\/catalog\/v3\/readme\/amazon-bedrock-agentcore.md"},"source_kind":"docker-mcp-catalog","license":"Apache License 2.0","upstream":"https:\/\/github.com\/awslabs\/mcp","owner":"awslabs","tags":["aws"],"popularity":{"pulls":19967,"stars":0,"github_stars":9769},"readme_url":"https:\/\/desktop.docker.com\/mcp\/catalog\/v3\/readme\/amazon-bedrock-agentcore.md","date_added":"2025-11-06T18:02:41Z","packaged_by":"Docker"},{"slug":"mcp-aws-bedrock-custom-model-import","name":"AWS Bedrock Custom Model Import","description":"Manage custom models in Bedrock.","category":"mcp","publisher":"docker","icon":"","icon_small":"","icon_url":"\/icon\/mcp-aws-bedrock-custom-model-import?v=c86b3f2d26de.6314dc26","readme":true,"page_url":"https:\/\/store.selfmade.work\/app\/mcp-aws-bedrock-custom-model-import","first_party":false,"publisher_verified":true,"updated_at":1791851255,"image":{"state":"built","ref":"mcp\/aws-bedrock-custom-model-import-mcp-server@sha256:1a63053ac6e4103cb0e484004fd178cac6547887e534a5df161dfacb72b2fb2b","digest":"sha256:1a63053ac6e4103cb0e484004fd178cac6547887e534a5df161dfacb72b2fb2b"},"version":"c86b3f2d26defcece21702ca69021d8441ad2e45","state":"listed","versions":[],"repo_url":"https:\/\/github.com\/awslabs\/mcp\/tree\/76ec6993aec4c6281e5250cbeba8db6a5863f2ff\/src\/aws-bedrock-custom-model-import-mcp-server","requires":{"render":false,"driver":"sysbox","min_plan":null},"categories":["ai","mcp-servers"],"categories_source":"derived","kind":"mcp","installs":0,"pull_count":14827,"tools_count":6,"known_publisher":false,"remote":false,"config_kind":"secrets","created_at":1762452161,"mcp":{"key":"aws-bedrock-custom-model-import","type":"server","transport":"stdio","image":"mcp\/aws-bedrock-custom-model-import-mcp-server","digest":"sha256:1a63053ac6e4103cb0e484004fd178cac6547887e534a5df161dfacb72b2fb2b","remote_url":"","tools":[{"name":"create_model_import_job","description":"Create a model import job to import a model into Amazon Bedrock.\n\nThis tool creates a model import job in Amazon Bedrock to import a custom model.\nThe job name and model name are mandatory parameters. The S3 URI for the model data source\nis optional and will be automatically inferred from the model name if not provided.\n\n## Usage Instructions\n1. Create descriptive job and model names based on the model you want to import\n - The tool itself will automatically add a timestamp suffix to distinguish names from multiple imports\n - Example: For a LLAMA-2 model, use \"llama-2-import-job\" and \"llama-2\" for job name and model name respectively\n2. The S3 URI is NOT required - it will be automatically inferred from the model name\n3. For advanced configurations, you can optionally specify:\n - Role ARN for permissions\n - VPC configuration for secure imports\n - KMS key for encryption\n - Tags for resource organization\n\n## Best Practices\n- Use clear, descriptive names for both jobName and i"},{"name":"delete_imported_model","description":"Delete an imported model from Amazon Bedrock.\n\nThis tool permanently deletes a custom model that was previously imported into Amazon Bedrock.\nThis operation cannot be undone and will permanently remove the model from your AWS account.\n\n## Usage Instructions\n1. Provide either the model name or ARN as the model_identifier parameter\n2. You can get a list of available models using the list_imported_models tool\n3. Verify you're deleting the correct model before proceeding\n\n## Important Considerations\n- This operation is IRREVERSIBLE - the model will be permanently deleted\n- Any applications using this model will fail after deletion\n- Consider backing up important model data before deletion\n- Deletion may take some time to complete for large models\n\n## When to Use\n- When you no longer need a specific model\n- To manage costs by removing unused models"},{"name":"get_imported_model","description":"Get imported model details from Amazon Bedrock.\n\nThis tool retrieves detailed information about a custom model that was previously\nimported into Amazon Bedrock. If the exact model name is not found, it will attempt\nto find a close match using approximate matching.\n\n## Usage Instructions\n1. Provide the model name or ARN as the model_identifier parameter\n2. The tool will attempt to find close matches if the exact name isn't found\n\n## Information Returned\n- Model ARN and creation time\n- Model architecture details\n- Whether the model supports chat or instructions\n- Custom model units used for billing the model (if applicable)\n- KMS key information (if encrypted)\n- Import job details and data source\n\n## How to Use This Information\n- Verify model details before using in applications\n- Check if the model supports instruction for chat applications using Bedrock Converse API\n- Review the model details to trace model provenance\n- Use the model ARN when configuring inference endpoints"},{"name":"get_model_import_job","description":"Get model import job details from Amazon Bedrock.\n\nThis tool retrieves detailed information about a model import job in Amazon Bedrock.\nIf the exact job name is not found, it will attempt to find a close match.\n\n## Usage Instructions\n1. Provide the job name or ARN as the job_identifier parameter\n2. The tool will attempt to find close matches if the exact name isn't found\n\n## Information Returned\n- Job status (In Progress, Completed, or Failed)\n- Creation, modification, and completion timestamps\n- Job ARN and failure message (if applicable)\n- Model details including name and ARN\n- Configuration details including role ARN, data source, VPC config, and KMS key\n\n## When to Use\n- To check the status of an ongoing model import\n- To troubleshoot failed imports by examining error messages\n- To verify the configuration of a completed import\n- To get the ARN of an imported model after job completion\n\n## Status Indicators\n- \ud83d\udd04 In Progress: The import job is currently running\n- \u2705 Completed: The imp"},{"name":"list_imported_models","description":"List imported models in Amazon Bedrock.\n\nThis tool retrieves a list of models that have already been imported into Amazon Bedrock.\nThe results can be filtered and sorted using the optional request parameters.\n\n## Usage Instructions\n1. Call this tool without parameters to list all imported models\n2. Optionally provide filtering parameters in the request:\n - creationTimeAfter: Filter models created after this time\n - creationTimeBefore: Filter models created before this time\n - nameContains: Filter models by name substring\n - sortBy: Sort results by field (e.g., CreationTime)\n - sortOrder: Sort order (Ascending, Descending)\n\n## Information Returned\n- Model name and ARN\n- Creation time\n- Model architecture\n- Whether the model supports instruction tuning (\u2705 or \u274c)\n\n## How to Use This Information\n- Note model names for use with other tools like get_imported_model\n- Check instruction support to determine if models can be used for chat applications\n- Review model architectures to und"},{"name":"list_model_import_jobs","description":"List model import jobs in Amazon Bedrock.\n\nThis tool retrieves a list of model import jobs in Amazon Bedrock.\nThe results can be filtered and sorted using the optional request parameters.\n\n## Usage Instructions\n1. Call this tool without parameters to list all model import jobs\n2. Optionally provide filtering parameters in the request:\n - creationTimeAfter: Filter jobs created after this time\n - creationTimeBefore: Filter jobs created before this time\n - statusEquals: Filter jobs by status (InProgress, Completed, Failed)\n - nameContains: Filter jobs by name substring\n - sortBy: Sort results by field (e.g., CreationTime)\n - sortOrder: Sort order (Ascending, Descending)\n\n## Information Returned\n- Job name and ARN\n- Status with visual indicator (\ud83d\udd04 In Progress, \u2705 Completed, \u274c Failed)\n- Creation and last modified times\n- Associated model name and ARN\n\n## How to Use This Information\n- Monitor ongoing imports with status indicators\n- Find recently created or modified jobs\n- Identif"}],"tools_count":6,"secrets":[{"name":"aws-bedrock-custom-model-import.aws_secret_access_key","env":"AWS_SECRET_ACCESS_KEY","description":"","example":"your-aws-secret-access-key"},{"name":"aws-bedrock-custom-model-import.aws_session_token","env":"AWS_SESSION_TOKEN","description":"","example":"your-aws-session-token"}],"env":[{"name":"AWS_REGION","value":"{{aws-bedrock-custom-model-import.aws_region}}"},{"name":"AWS_PROFILE","value":"{{aws-bedrock-custom-model-import.aws_profile}}"},{"name":"AWS_ACCESS_KEY_ID","value":"{{aws-bedrock-custom-model-import.aws_access_key_id}}"},{"name":"BEDROCK_MODEL_IMPORT_S3_BUCKET","value":"{{aws-bedrock-custom-model-import.bedrock_model_import_s3_bucket}}"}],"config_schema":[{"name":"aws-bedrock-custom-model-import","description":"Configure AWS credentials and S3 bucket for model imports","type":"object","properties":{"aws_region":{"type":"string"},"aws_profile":{"type":"string"},"aws_access_key_id":{"type":"string"},"bedrock_model_import_s3_bucket":{"type":"string"}}}],"oauth":[],"zero_config":false,"needs_setup":true,"tools_after_setup":false,"network":true,"network_source":"catalog","installable":true,"install_reason":"","server_name":"aws-bedrock-custom-model","server_entry":{"command":"docker","args":["run","-i","--rm","--init","--security-opt","no-new-privileges","-e","AWS_ACCESS_KEY_ID","-e","AWS_PROFILE","-e","AWS_REGION","-e","AWS_SECRET_ACCESS_KEY","-e","AWS_SESSION_TOKEN","-e","BEDROCK_MODEL_IMPORT_S3_BUCKET","mcp\/aws-bedrock-custom-model-import-mcp-server@sha256:1a63053ac6e4103cb0e484004fd178cac6547887e534a5df161dfacb72b2fb2b"],"env":{"AWS_ACCESS_KEY_ID":"{secret:aws-bedrock-custom-model-import.aws_access_key_id}","AWS_PROFILE":"{secret:aws-bedrock-custom-model-import.aws_profile}","AWS_REGION":"{secret:aws-bedrock-custom-model-import.aws_region}","AWS_SECRET_ACCESS_KEY":"{secret:aws-bedrock-custom-model-import.aws_secret_access_key}","AWS_SESSION_TOKEN":"{secret:aws-bedrock-custom-model-import.aws_session_token}","BEDROCK_MODEL_IMPORT_S3_BUCKET":"{secret:aws-bedrock-custom-model-import.bedrock_model_import_s3_bucket}"},"x-labs":{"title":"AWS Bedrock Custom Model Import","description":"Manage custom models in Bedrock.","icon":"https:\/\/avatars.githubusercontent.com\/u\/3299148?v=4","timeout":30,"tools":[{"name":"create_model_import_job","description":"Create a model import job to import a model into Amazon Bedrock.\n\nThis tool creates a model import job in Amazon Bedrock to import a custom model.\nThe job name and model name are mandatory parameters. The S3 URI for the model data source\nis optional and will be automatically inferred from the model name if not provided.\n\n## Usage Instructions\n1. Create descriptive job and model names based on the model you want to import\n - The tool itself will automatically add a timestamp suffix to distingui"},{"name":"delete_imported_model","description":"Delete an imported model from Amazon Bedrock.\n\nThis tool permanently deletes a custom model that was previously imported into Amazon Bedrock.\nThis operation cannot be undone and will permanently remove the model from your AWS account.\n\n## Usage Instructions\n1. Provide either the model name or ARN as the model_identifier parameter\n2. You can get a list of available models using the list_imported_models tool\n3. 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Provide the job name or ARN as the job_identifier parameter\n2. The tool will attempt to find close matches if the exact name isn't found\n\n## Information Returned\n- Job status (In Progress, Completed, or Failed)\n- Creation, modification, and completion timestamps\n"},{"name":"list_imported_models","description":"List imported models in Amazon Bedrock.\n\nThis tool retrieves a list of models that have already been imported into Amazon Bedrock.\nThe results can be filtered and sorted using the optional request parameters.\n\n## Usage Instructions\n1. Call this tool without parameters to list all imported models\n2. Optionally provide filtering parameters in the request:\n - creationTimeAfter: Filter models created after this time\n - creationTimeBefore: Filter models created before this time\n - nameContains:"},{"name":"list_model_import_jobs","description":"List model import jobs in Amazon Bedrock.\n\nThis tool retrieves a list of model import jobs in Amazon Bedrock.\nThe results can be filtered and sorted using the optional request parameters.\n\n## Usage Instructions\n1. Call this tool without parameters to list all model import jobs\n2. Optionally provide filtering parameters in the request:\n - creationTimeAfter: Filter jobs created after this time\n - creationTimeBefore: Filter jobs created before this time\n - statusEquals: Filter jobs by status "}],"config":[{"name":"aws-bedrock-custom-model-import.aws_secret_access_key","description":"","type":"string","secret":true,"required":true},{"name":"aws-bedrock-custom-model-import.aws_session_token","description":"","type":"string","secret":true,"required":true},{"name":"aws-bedrock-custom-model-import.aws_region","description":"","type":"string","secret":false,"required":true},{"name":"aws-bedrock-custom-model-import.aws_profile","description":"","type":"string","secret":false,"required":true},{"name":"aws-bedrock-custom-model-import.aws_access_key_id","description":"","type":"string","secret":false,"required":true},{"name":"aws-bedrock-custom-model-import.bedrock_model_import_s3_bucket","description":"","type":"string","secret":false,"required":true}],"needs_setup":true,"network":true,"prepull":["mcp\/aws-bedrock-custom-model-import-mcp-server@sha256:1a63053ac6e4103cb0e484004fd178cac6547887e534a5df161dfacb72b2fb2b"]}},"settings":[{"name":"aws-bedrock-custom-model-import.aws_region","description":"","type":"string","required":true,"example":"","default":""},{"name":"aws-bedrock-custom-model-import.aws_profile","description":"","type":"string","required":true,"example":"","default":""},{"name":"aws-bedrock-custom-model-import.aws_access_key_id","description":"","type":"string","required":true,"example":"","default":""},{"name":"aws-bedrock-custom-model-import.bedrock_model_import_s3_bucket","description":"","type":"string","required":true,"example":"","default":""}],"docs_url":"https:\/\/desktop.docker.com\/mcp\/catalog\/v3\/readme\/aws-bedrock-custom-model-import.md"},"source_kind":"docker-mcp-catalog","license":"Apache License 2.0","upstream":"https:\/\/github.com\/awslabs\/mcp","owner":"awslabs","tags":["aws"],"popularity":{"pulls":14827,"stars":0,"github_stars":9769},"readme_url":"https:\/\/desktop.docker.com\/mcp\/catalog\/v3\/readme\/aws-bedrock-custom-model-import.md","date_added":"2025-11-06T18:02:41Z","packaged_by":"Docker"},{"slug":"mcp-aws-bedrock-data-automation","name":"AWS Bedrock Data Automation","description":"Analyze documents, images, videos, and audio.","category":"mcp","publisher":"docker","icon":"","icon_small":"","icon_url":"\/icon\/mcp-aws-bedrock-data-automation?v=074487fb648d.6314dc26","readme":true,"page_url":"https:\/\/store.selfmade.work\/app\/mcp-aws-bedrock-data-automation","first_party":false,"publisher_verified":true,"updated_at":1791851256,"image":{"state":"built","ref":"mcp\/aws-bedrock-data-automation-mcp-server@sha256:ca5c8e3d1bf03cbe1e2c8a61e38caae6a91d2bd04a59e2067e42f8f93ed384b8","digest":"sha256:ca5c8e3d1bf03cbe1e2c8a61e38caae6a91d2bd04a59e2067e42f8f93ed384b8"},"version":"074487fb648d3c8baef49b69d4522f8b2c11251e","state":"listed","versions":[],"repo_url":"https:\/\/github.com\/awslabs\/mcp\/tree\/780e3f1d57c77f9c0b88279711c5b95e23cfb91d\/src\/aws-bedrock-data-automation-mcp-server","requires":{"render":false,"driver":"sysbox","min_plan":null},"categories":["ai","mcp-servers"],"categories_source":"derived","kind":"mcp","installs":0,"pull_count":14328,"tools_count":3,"known_publisher":false,"remote":false,"config_kind":"secrets","created_at":1762452161,"mcp":{"key":"aws-bedrock-data-automation","type":"server","transport":"stdio","image":"mcp\/aws-bedrock-data-automation-mcp-server","digest":"sha256:ca5c8e3d1bf03cbe1e2c8a61e38caae6a91d2bd04a59e2067e42f8f93ed384b8","remote_url":"","tools":[{"name":"analyzeasset","description":"[DEPRECATED] Analyze an asset using a data automation project.\n\nThis tool extracts insights from unstructured content (documents, images, videos, audio)\nusing Amazon Bedrock Data Automation.\n\n## Usage\n\nUse this tool to analyze various types of assets (documents, images, videos, audio files)\nusing a data automation project. You can specify a particular project to use for analysis\nor let the system use a default public project if none is provided.\n\n## Supported Asset Types\n\n- Documents: PDF, DOCX, TXT, etc.\n- Images: JPG, PNG, etc.\n- Videos: MP4, MOV, etc.\n- Audio: MP3, WAV, etc.\n\n## Examples\n\n```python\n# Analyze a document using the default public project\nresults = await analyzeasset(assetPath='\/path\/to\/document.pdf')\n\n# Analyze an image using a specific project\nresults = await analyzeasset(\n assetPath='\/path\/to\/image.jpg',\n projectArn='arn:aws:bedrock:us-west-2:123456789012:data-automation-project\/my-project',\n)\n```\n\n## Output Format\n\nThe output is a dictionary containing the ana"},{"name":"getprojectdetails","description":"[DEPRECATED] Get details of a data automation project.\n\n## Usage\n\nUse this tool to retrieve detailed information about a specific data automation project\nafter you've identified its ARN using the `getprojects` tool.\n\n## Example\n\n```python\n# Get details for a specific project\nproject_details = await getprojectdetails(\n projectArn='arn:aws:bedrock:us-west-2:123456789012:data-automation-project\/my-project'\n)\n```\n\n## Output Format\n\nThe output is a dictionary containing comprehensive project details including:\n- Basic project information (name, ARN, stage)\n- Configuration settings\n- Input\/output specifications\n- Associated blueprints\n- Creation and modification timestamps"},{"name":"getprojects","description":"[DEPRECATED] Get a list of data automation projects.\n\n## Usage\n\nUse this tool to retrieve a list of all available data automation projects in your account.\nThis is typically the first step when working with data automation to discover what projects\nare available for use.\n\n## Example\n\n```python\n# Get all available data automation projects\nprojects = await getprojects()\n```\n\n## Output Format\n\nThe output is a dictionary containing:\n- `projects`: A list of project objects, each with:\n - `projectArn`: The Amazon Resource Name (ARN) of the project\n - `projectName`: The name of the project\n - `projectStage`: The stage of the project (e.g., DRAFT, PUBLISHED)\n - `creationTime`: When the project was created\n - `lastModifiedTime`: When the project was last modified\n\nReturns:\n A dict containing a list of data automation projects."}],"tools_count":3,"secrets":[],"env":[{"name":"AWS_BUCKET_NAME","value":"{{aws-bedrock-data-automation.aws_bucket_name}}"},{"name":"AWS_REGION","value":"{{aws-bedrock-data-automation.aws_region}}"},{"name":"AWS_PROFILE","value":"{{aws-bedrock-data-automation.aws_profile}}"}],"config_schema":[{"name":"aws-bedrock-data-automation","description":"Configure AWS credentials and S3 bucket for data automation","type":"object","properties":{"aws_bucket_name":{"type":"string"},"aws_region":{"type":"string"},"aws_profile":{"type":"string"}},"required":["aws_bucket_name"]}],"oauth":[],"zero_config":false,"needs_setup":true,"tools_after_setup":false,"network":true,"network_source":"catalog","installable":true,"install_reason":"","server_name":"aws-bedrock-data-automat","server_entry":{"command":"docker","args":["run","-i","--rm","--init","--security-opt","no-new-privileges","-e","AWS_BUCKET_NAME","-e","AWS_PROFILE","-e","AWS_REGION","mcp\/aws-bedrock-data-automation-mcp-server@sha256:ca5c8e3d1bf03cbe1e2c8a61e38caae6a91d2bd04a59e2067e42f8f93ed384b8"],"env":{"AWS_BUCKET_NAME":"{secret:aws-bedrock-data-automation.aws_bucket_name}","AWS_PROFILE":"{secret:aws-bedrock-data-automation.aws_profile}","AWS_REGION":"{secret:aws-bedrock-data-automation.aws_region}"},"x-labs":{"title":"AWS Bedrock Data Automation","description":"Analyze documents, images, videos, and audio.","icon":"https:\/\/avatars.githubusercontent.com\/u\/3299148?v=4","timeout":30,"tools":[{"name":"analyzeasset","description":"[DEPRECATED] Analyze an asset using a data automation project.\n\nThis tool extracts insights from unstructured content (documents, images, videos, audio)\nusing Amazon Bedrock Data Automation.\n\n## Usage\n\nUse this tool to analyze various types of assets (documents, images, videos, audio files)\nusing a data automation project. You can specify a particular project to use for analysis\nor let the system use a default public project if none is provided.\n\n## Supported Asset Types\n\n- Documents: PDF, DOCX,"},{"name":"getprojectdetails","description":"[DEPRECATED] Get details of a data automation project.\n\n## Usage\n\nUse this tool to retrieve detailed information about a specific data automation project\nafter you've identified its ARN using the `getprojects` tool.\n\n## Example\n\n```python\n# Get details for a specific project\nproject_details = await getprojectdetails(\n projectArn='arn:aws:bedrock:us-west-2:123456789012:data-automation-project\/my-project'\n)\n```\n\n## Output Format\n\nThe output is a dictionary containing comprehensive project detai"},{"name":"getprojects","description":"[DEPRECATED] Get a list of data automation projects.\n\n## Usage\n\nUse this tool to retrieve a list of all available data automation projects in your account.\nThis is typically the first step when working with data automation to discover what projects\nare available for use.\n\n## Example\n\n```python\n# Get all available data automation projects\nprojects = await getprojects()\n```\n\n## Output Format\n\nThe output is a dictionary containing:\n- `projects`: A list of project objects, each with:\n - `projectArn"}],"config":[{"name":"aws-bedrock-data-automation.aws_bucket_name","description":"","type":"string","secret":false,"required":true},{"name":"aws-bedrock-data-automation.aws_region","description":"","type":"string","secret":false,"required":true},{"name":"aws-bedrock-data-automation.aws_profile","description":"","type":"string","secret":false,"required":true}],"needs_setup":true,"network":true,"prepull":["mcp\/aws-bedrock-data-automation-mcp-server@sha256:ca5c8e3d1bf03cbe1e2c8a61e38caae6a91d2bd04a59e2067e42f8f93ed384b8"]}},"settings":[{"name":"aws-bedrock-data-automation.aws_bucket_name","description":"","type":"string","required":true,"example":"","default":""},{"name":"aws-bedrock-data-automation.aws_region","description":"","type":"string","required":true,"example":"","default":""},{"name":"aws-bedrock-data-automation.aws_profile","description":"","type":"string","required":true,"example":"","default":""}],"docs_url":"https:\/\/desktop.docker.com\/mcp\/catalog\/v3\/readme\/aws-bedrock-data-automation.md"},"source_kind":"docker-mcp-catalog","license":"Apache License 2.0","upstream":"https:\/\/github.com\/awslabs\/mcp","owner":"awslabs","tags":["aws"],"popularity":{"pulls":14328,"stars":0,"github_stars":9769},"readme_url":"https:\/\/desktop.docker.com\/mcp\/catalog\/v3\/readme\/aws-bedrock-data-automation.md","date_added":"2025-11-06T18:02:41Z","packaged_by":"Docker"},{"slug":"mcp-awslabs-billing-cost-management","name":"AWS Billing and Cost Management","description":"Billing and cost management.","category":"mcp","publisher":"docker","icon":"","icon_small":"","icon_url":"\/icon\/mcp-awslabs-billing-cost-management?v=d314909dfeb5.6314dc26","readme":true,"page_url":"https:\/\/store.selfmade.work\/app\/mcp-awslabs-billing-cost-management","first_party":false,"publisher_verified":true,"updated_at":1791851276,"image":{"state":"built","ref":"mcp\/billing-cost-management-mcp-server@sha256:40dae882d16cd356fca43874eaf808f1d971ab60818040dd33a5bc2333975f70","digest":"sha256:40dae882d16cd356fca43874eaf808f1d971ab60818040dd33a5bc2333975f70"},"version":"d314909dfeb54a8cf9bb5366123cade0bc596498","state":"listed","versions":[],"repo_url":"https:\/\/github.com\/awslabs\/mcp\/tree\/636aca8e109b5559006044f035bb89c16e9e5410\/src\/billing-cost-management-mcp-server","requires":{"render":false,"driver":"sysbox","min_plan":null},"categories":["finance","mcp-servers"],"categories_source":"derived","kind":"mcp","installs":0,"pull_count":48973,"tools_count":33,"known_publisher":false,"remote":false,"config_kind":"secrets","created_at":1762452161,"mcp":{"key":"awslabs-billing-cost-management","type":"server","transport":"stdio","image":"mcp\/billing-cost-management-mcp-server","digest":"sha256:40dae882d16cd356fca43874eaf808f1d971ab60818040dd33a5bc2333975f70","remote_url":"","tools":[{"name":"aws-pricing","description":"Comprehensive AWS pricing analysis tool that provides access to AWS service pricing information and cost analysis capabilities.\n\nThis tool supports four main operations:\n1. get_service_codes: Get a comprehensive list of AWS service codes from the AWS Price List API\n2. get_service_attributes: Get filterable attributes for a specific AWS service's pricing\n3. get_attribute_values: Get all valid values for a specific attribute of an AWS service\n4. get_pricing_from_api: Get detailed pricing information from AWS Price List API with optional filters\n\nUSE THE OPERATIONS IN THIS ORDER:\n1. get_service_codes: Entry point - discover available AWS services and their unique service codes. Note that service codes may not match your expectations, so it's best to get service codes first.\n2. get_service_attributes: Second step - understand which dimensions affect pricing for a chosen service\n3. get_attribute_values: Third step - get possible values you can use in pricing filters\n4. get_pricing_from_api:"},{"name":"bcm-pricing-calc","description":"Allows working with workload estimates using the AWS Billing and Cost Management Pricing Calculator API.\n\nIMPORTANT USAGE GUIDELINES:\n- Always first check the rate preference setting for the authorized principal by calling the get_preferences operation.\n- DO NOT state assumptions about Free Tier API\n\nUSE THIS TOOL FOR:\n- Listing available **workload estimates** for the logged in account.\n- **Filter list of available workload estimates** using name, status, created date, or expiration date.\n- Get **details of a workload estimate**.\n- Get the list of **services, usage type, operation, and usage amount** modeled within a workload estimate.\n- Get **rate preferences** set for Pricing Calculator. These rate preferences denote what rate preferences can be used by each account type in your organization.\n\n## OPERATIONS\n\n1) list_workload_estimates - list of available workload estimates\n Required: operation=\"list_workload_estimates\"\n Optional: created_after, created_before, expires_after, exp"},{"name":"budgets","description":"Retrieves AWS budget information using the AWS Budgets API.\n\nThis tool uses the DescribeBudgets API to retrieve all budgets for an account.\n\nThe API returns information about:\n- Budget names, types, and time periods\n- Budget limits (amount and unit)\n- Current actual spend\n- Forecasted spend\n- Cost filters applied to budgets\n\nWith this information, you can determine which budgets have been exceeded or are projected to exceed their limits.\n\nThe tool automatically retrieves the AWS account ID of the calling identity or uses the provided account_id."},{"name":"compute-optimizer","description":"Retrieves recommendations from AWS Compute Optimizer.\n\nIMPORTANT USAGE GUIDELINES:\n- Focus on recommendations with the highest estimated savings first\n- Include all relevant details when presenting specific recommendations\n\nUSE THIS TOOL FOR:\n- **Performance optimization** (CPU, memory, network utilization analysis)\n- **Performance-based rightsizing** (not cost-based)\n\nDO NOT USE FOR: Cost optimization or idle detection (use cost-optimization-hub)\n\n**Note:** Compute Optimizer is a regional service. Specify a `region` to get recommendations for resources in that region. If omitted, defaults to AWS_REGION env var or us-east-1.\n\nThis tool supports the following operations:\n1. get_ec2_instance_recommendations: Get recommendations for EC2 instances\n2. get_auto_scaling_group_recommendations: Get recommendations for Auto Scaling groups\n3. get_ebs_volume_recommendations: Get recommendations for EBS volumes\n4. get_lambda_function_recommendations: Get recommendations for Lambda functions\n5. get_"},{"name":"cost-anomaly","description":"Retrieves AWS cost anomalies using the Cost Explorer GetAnomalies API.\n\nThis tool allows you to retrieve cost anomalies detected on your AWS account during a specified time period.\nAnomalies are available for up to 90 days.\n\nYou can filter anomalies by:\n- Date range (required)\n- Monitor ARN (optional)\n- Feedback status (optional)\n- Total impact (optional)\n\nNote: Both start_date and end_date are INCLUSIVE. To get anomalies including today, use today's date as end_date.\n\nFeedback status options:\n- YES: Anomalies marked as accurate\n- NO: Anomalies marked as inaccurate\n- PLANNED_ACTIVITY: Anomalies marked as planned activities"},{"name":"cost-comparison","description":"Retrieves AWS cost comparisons between two one-month periods.\n\nDo not use this tool except for comparing the costs of one month to the costs of another month. This tool should not be used for week-over-week or quarter-over-quarter (e.g., comparing Q2 vs. Q1) analysis.\n\nUSE THIS TOOL ONLY FOR:\n- **Month-to-month cost variance analysis** (e.g., January vs February)\n- **Root cause analysis** of cost changes between specific months\n- **Detailed cost driver identification** (what exactly caused the cost change)\n- **Service-level impact analysis** for month-over-month changes\n- **Executive reporting** on monthly cost variances\n\nSTRICT LIMITATIONS:\n- ONLY compares exactly one month to another month\n- Both periods must start on 1st day of month, end on 1st day of next month\n- Cannot compare weeks, quarters, or custom periods\n- DO NOT USE for general cost analysis or flexible time periods\n\nThis tool supports two main operations:\n1. getCostAndUsageComparisons: Compare costs between two time peri"},{"name":"cost-explorer","description":"Retrieves AWS cost and usage data using the Cost Explorer API.\n\nIMPORTANT USAGE GUIDELINES:\n- Use UnblendedCost metric by default (not BlendedCost) unless user specifies otherwise\n- Exclude record_types 'Credit' and 'Refund' by default unless user requests inclusion\n- Choose DAILY granularity for periods <3 months, MONTHLY for longer periods\n- Start with high-level dimensions (SERVICE, LINKED_ACCOUNT) before detailed ones\n- Always remember that the end_date is exclusive\n\nUSE THIS TOOL FOR:\n- **Historical cost trends** and spending analysis (any time period)\n- **Usage pattern analysis** over time\n- **Cost breakdown** by service, account, region, or any dimension\n- **Forecasting** future costs and usage\n- **Resource-level cost analysis** (last 14 days)\n- **Multi-dimensional cost analysis** with complex grouping\n\n## OPERATIONS\n\n1) getCostAndUsage \u2014 account-level historical cost\/usage\n Required: operation=\"getCostAndUsage\", start_date, end_date, granularity, metrics\n Optional: group_by"},{"name":"cost-optimization","description":"Retrieves cost optimization recommendations from AWS Cost Optimization Hub.\n\nIMPORTANT USAGE GUIDELINES:\n- Focus on recommendations with the highest estimated savings first\n- Include all relevant details when presenting specific recommendations\n\nUSE THIS TOOL FOR:\n- **Idle\/unused resource detection** (EC2, RDS, EBS, Lambda, etc.)\n- **Cost savings recommendations** (rightsizing, stopping, deleting resources)\n- **Reserved Instance and Savings Plans purchase recommendations**\n- **Cross-service cost optimization analysis**\n- **Monthly cost reduction opportunities**\n\nDO NOT USE FOR: Performance optimization (use compute-optimizer)\n\nSupported Operations:\n1. list_recommendation_summaries: High-level overview of savings opportunities grouped by a dimension\n2. list_recommendations: Detailed list of specific recommendations\n3. get_recommendation: Get detailed information about a specific recommendation\n\nIMPORTANT: 'list_recommendation_summaries' operation REQUIRES a 'group_by' parameter.\nValid '"},{"name":"describe-cost-category-definition","description":"Returns the full definition of a cost category using the DescribeCostCategoryDefinition API.\n\nCost categories group AWS costs using rule-based expressions that match line items by\ndimensions (SERVICE, LINKED_ACCOUNT, USAGE_TYPE), resource tags, or other cost category\nvalues. Each matched line item is assigned a category value such as \"Production\" or\n\"Development\". Rules can be REGULAR (explicit match) or INHERITED_VALUE (dynamic value\nfrom a tag key or account name). A DefaultValue catches costs that do not match any rule.\n\nThe tool returns a CostCategory object containing:\n- Name (1-50 chars, unique per account, case-sensitive), CostCategoryArn\n- RuleVersion (always \"CostCategoryExpression.v1\")\n- Rules array with Value, Rule expression (Dimensions\/Tags\/CostCategories with And\/Or\/Not), and Type\n- DefaultValue, SplitChargeRules (PROPORTIONAL, FIXED, or EVEN allocation methods)\n- EffectiveStart\/EffectiveEnd (null if still active)\n- ProcessingStatus: APPLIED (rules reflected in data) or P"},{"name":"free-tier-usage","description":"Retrieves AWS Free Tier usage information using the Free Tier Usage API.\n\nThis tool provides insights into your AWS Free Tier usage across services:\n\n1. get_free_tier_usage: Shows your current Free Tier usage across AWS services\n - Helps identify where you are approaching Free Tier limits\n - Shows actual usage against Free Tier allocations\n - Supports filtering by service, region, or usage type\n - Possible Dimensions values are: 'SERVICE'|'OPERATION'|'USAGE_TYPE'|'REGION'|'FREE_TIER_TYPE'|'DESCRIPTION'|'USAGE_PERCENTAGE'\n - Possible MatchOptions are: 'EQUALS'|'STARTS_WITH'|'ENDS_WITH'|'CONTAINS'|'GREATER_THAN_OR_EQUAL'"},{"name":"get-billing-group-cost-report","description":"Retrieves the margin summary report for a specific billing group, which includes\nthe AWS cost and charged amount (pro forma cost) broken down by attributes such as AWS service\nname or billing period.\n\nThis tool retrieve detailed cost reports for a\nsingle billing group, optionally broken down by product name and\/or billing period.\n\nThe tool returns margin summary report results for the billing group:\n- Billing group ARN\n- Attributes (key-value pairs for grouping, e.g., PRODUCT_NAME: \"S3\", BILLING_PERIOD: \"Nov 2023\")\n- AWS cost (actual AWS charges)\n- Proforma cost (hypothetical charges based on the associated pricing plan)\n- Margin (billing group margin)\n- Margin percentage (percentage of billing group margin)\n- Currency (displayed currency)\n\nYou can customize the report by:\n- BillingPeriodRange: JSON string specifying a time range (up to 12 months)\n- GroupBy: JSON array string with values \"PRODUCT_NAME\" and\/or \"BILLING_PERIOD\"\n\nExample 1: {\"arn\": \"arn:aws:billingconductor::123456789012:"},{"name":"get-billing-view","description":"Returns the metadata associated to the specified billing view ARN.\n\nA billing view is an AWS resource that defines a segment of AWS cost management data.\nThere are four types of billing views:\n- PRIMARY: The default billing view containing all cost management data for an account.\n For management accounts in an organization, this includes all data across the organization.\n- BILLING_GROUP: Billing views corresponding to billing groups created in AWS Billing Conductor.\n- CUSTOM: Customer-created billing views that provide filtered cost visibility across organizations.\n These can be shared with other accounts.\n- BILLING_TRANSFER: Views available when using billing transfer, including \"My view\" and\n \"Showback\/chargeback view\".\n- BILLING_TRANSFER_SHOWBACK: Shows billing data configured for showback or chargeback purposes.\n\nThe tool returns information about:\n- Billing view ARN, name, and description\n- Billing view type (PRIMARY, BILLING_GROUP, CUSTOM, BILLING_TRANSFER, BILLING_TRANSFER_SH"},{"name":"get-resource-policy","description":"Returns the resource-based policy document attached to the resource in JSON format.\n\nResource-based policies are used to control access to billing view resources. When a custom\nbilling view is shared with other accounts (within or outside the organization) using AWS\nResource Access Manager (AWS RAM), a resource-based policy is attached to the billing view\nresource defining the access permissions.\n\nUse this tool to:\n- Inspect the sharing permissions of a billing view to understand which accounts have access\n- Audit resource-based policy configurations for compliance or security review\n- Debug access issues by examining the policy document attached to a billing view\n- Verify that sharing was configured correctly after sharing a custom billing view\n\nThe tool returns:\n- The resource-based policy document in JSON format\n- The ARN of the billing view resource the policy is attached to\n\nExample: {\"resource_arn\": \"arn:aws:billing::123456789012:billingview\/custom-view-abc123\"}"},{"name":"list-account-associations","description":"Lists linked accounts associated with the payer account from AWS Billing Conductor.\n\nThis tool retrieve linked accounts for a given billing period.\nIf no billing period is provided, the current billing period is used.\n\nThe tool returns information about each linked account:\n- Account ID\n- Account name\n- Account email\n- Billing group ARN (if associated to a billing group)\n\nYou can filter account associations by:\n- AccountId: Filter by a specific AWS account ID\n- AccountIds: Filter by a list of AWS account IDs (up to 30)\n- Association: Filter by association status:\n - MONITORED: linked accounts associated to billing groups\n - UNMONITORED: linked accounts not associated to billing groups\n - Billing Group ARN: linked accounts associated to a specific billing group\n\nThe tool paginates through results up to max_pages pages (default 10).\nIf more results are available after reaching the page limit, a next_token is returned.\nPass the next_token back to this tool to continue fetching from whe"},{"name":"list-billing-group-cost-reports","description":"Retrieves a summary report of actual AWS charges and calculated AWS charges\nbased on the associated pricing plan of a billing group.\n\nThis tool retrieve cost reports for billing groups.\nIf no billing period is provided, the current billing period is used.\n\nThe tool returns cost report information for each billing group:\n- Billing group ARN\n- AWS cost (actual AWS charges)\n- Proforma cost (hypothetical charges based on the associated pricing plan)\n- Margin (billing group margin)\n- Margin percentage (percentage of billing group margin)\n- Currency (displayed currency)\n\nYou can filter cost reports by:\n- BillingGroupArns: Filter by specific billing group ARNs (1 to 100 ARNs)\n\nExample 1: {\"billing_period\": \"2025-01\"}\nExample 2 (with filter): {\"filters\": \"{\"BillingGroupArns\": [\"arn:aws:billingconductor::123456789012:billinggroup\/abc\"]}\", \"billing_period\": \"2025-01\"}"},{"name":"list-billing-groups","description":"Retrieves a list of billing groups from AWS Billing Conductor.\n\nThis tool retrieve billing groups for a given billing period.\nIf no billing period is provided, the current billing period is used.\n\nThe tool returns information about:\n- Billing group ARN, name, and description\n- Billing group type (STANDARD or TRANSFER_BILLING)\n- Billing group status (ACTIVE, PRIMARY_ACCOUNT_MISSING, or PENDING)\n- Primary account ID\n- Computation preference (pricing plan ARN)\n- Account grouping settings (auto-associate, responsibility transfer ARN)\n- Group size (number of member accounts)\n- Creation and last modified timestamps\n\nYou can filter billing groups by:\n- ARNs: Filter by specific billing group ARNs\n- Names: Filter by billing group name (supports STARTS_WITH search)\n- Statuses: Filter by status (ACTIVE, PRIMARY_ACCOUNT_MISSING, PENDING)\n- Billing group types: Filter by type (STANDARD, TRANSFER_BILLING)\n- Primary account IDs: Filter by primary account ID\n- Pricing plan: Filter by pricing plan ARN\n"},{"name":"list-billing-views","description":"Lists the billing views available for a given time period.\n\nEvery AWS account has a unique PRIMARY billing view that represents the billing data\navailable by default. Accounts that use AWS Billing Conductor also have BILLING_GROUP\nbilling views representing pro forma costs associated with each created billing group.\n\nIf activeTimeRange is provided, only billing views that were active during that time window are returned.\nElse, all billing views that ever existed are returned, including views for deleted billing groups and ended billing transfers.\n\nThe tool returns a list of billing views with information about:\n- Billing view ARN, name, and description\n- Billing view type (PRIMARY, BILLING_GROUP, CUSTOM, BILLING_TRANSFER, BILLING_TRANSFER_SHOWBACK)\n- Owner account ID and source account ID\n- Health status (status code and reasons)\n\nYou can filter billing views by:\n- active_after_inclusive \/ active_before_inclusive: UTC time range for listing billing views\n (must be within one calendar "},{"name":"list-cost-allocation-tag-backfill-history","description":"Retrieves the history of cost allocation tag backfill requests using the\nListCostAllocationTagBackfillHistory API.\n\nBackfill retroactively applies the current tag activation status to historical billing data.\nWithout backfill, tag activation only affects future billing periods.\n\nBackfill requests progress through these states:\n- SCHEDULED: Initial state when the backfill is requested\n- PROCESSING: System is rewriting historical tag data and reprocessing bills\n- SUCCEEDED: Backfill completed, historical data updated\n- FAILED: Processing error occurred (can be retried)\n\nConstraints: Only one backfill can run at a time. There is a 24-hour cooldown between\nrequests. Maximum lookback is 12 months. BackfillFrom must be the first day of a month\nat 00:00:00 UTC.\n\nThe tool returns CostAllocationTagBackfillRequest objects containing:\n- BackfillFrom (start date, first of month UTC)\n- BackfillStatus (SUCCEEDED, PROCESSING, or FAILED)\n- RequestedAt, CompletedAt (null if still processing), LastUpdat"},{"name":"list-cost-allocation-tags","description":"Lists cost allocation tags in the account using the ListCostAllocationTags API.\n\nCost allocation tags must be activated before they appear in Cost Explorer, CUR, and budgets.\nThere are two types: AWSGenerated (auto-created by AWS services like aws:createdBy) and\nUserDefined (created by customers via resource tagging APIs).\n\nThe tool returns CostAllocationTag objects containing:\n- TagKey, Type (AWSGenerated\/UserDefined), Status (Active\/Inactive)\n- LastUpdatedDate (when activation status last changed)\n- LastUsedDate (last month the tag appeared on a billed resource, for identifying stale tags)\n\nYou can filter tags by:\n- status: Active or Inactive\n- tag_keys: JSON array of tag key strings to look up (max 100, case-sensitive).\n Example: '[\"Environment\", \"Team\", \"CostCenter\"]'\n- tag_type: AWSGenerated or UserDefined\n- max_results: Results per page (1-1000, default 100)\n- max_pages: Max pages to auto-paginate through\n\nLimits: 500 active cost allocation tag keys per payer account (adjustable"},{"name":"list-cost-category-definitions","description":"Lists all cost category definitions in the account using the ListCostCategoryDefinitions API.\n\nReturns lightweight references for each cost category, not full rule definitions. Use\ndescribe-cost-category-definition with the returned ARN to get the complete rule set.\n\nThe tool returns CostCategoryReference objects containing:\n- CostCategoryArn, Name (unique, case-sensitive), NumberOfRules\n- EffectiveStart, EffectiveEnd (null if current)\n- DefaultValue, Values (all category values defined in the rules)\n- ProcessingStatus: APPLIED or PROCESSING\n- SupportedResourceTypes\n\nYou can filter and paginate with:\n- effective_on: ISO 8601 datetime to return only categories active at that time.\n Defaults to current date.\n- supported_resource_types: JSON array to filter by resource type support.\n Valid values: \"billing:rispgroupsharing\", \"billing:billingview\"\n Example: '[\"billing:billingview\"]'\n Returns only categories supporting all specified types.\n- max_results: Results per page (1-100, default"},{"name":"list-custom-line-item-versions","description":"Retrieves a list of versions for a specific custom line item from AWS Billing Conductor.\n\nThis tool retrieve all versions of a custom line item.\nIf no billing period is provided, the current billing period is used.\n\nThe tool returns information about each version including charge details, computation rule,\nbilling periods, and timestamps.\n\nYou can filter versions by:\n- BillingPeriodRange: Filter by start and\/or end billing period\n\nExample 1: {\"arn\": \"arn:aws:billingconductor::123456789012:customlineitem\/abcdef1234\"}\nExample 2: {\"arn\": \"...\", \"filters\": \"{\"BillingPeriodRange\": {\"StartBillingPeriod\": \"2025-01\", \"EndBillingPeriod\": \"2025-06\"}}\"}"},{"name":"list-custom-line-items","description":"Retrieves a list of custom line items (FFLIs) from AWS Billing Conductor.\n\nCustom line items let you allocate costs and discounts to designated AWS accounts within a\nbilling group. Common use cases include allocating support fees, shared service costs, managed\nservice fees, taxes, credits, and distributing RI\/Savings Plans savings.\n\nThis tool retrieve custom line items for a given billing period.\nIf no billing period is provided, the current billing period is used.\n\nThe tool returns information about:\n- Custom line item ARN, name, and description\n- Account ID, billing group ARN\n- Charge details (type: CREDIT or FEE, flat or percentage)\n- Computation rule (CONSOLIDATED or ITEMIZED)\n- Currency code, association size, product code\n- Presentation details, creation and last modified timestamps\n\nYou can filter custom line items by:\n- AccountIds: Filter by AWS account IDs (up to 30)\n- Arns: Filter by specific custom line item ARNs (up to 100)\n- BillingGroups: Filter by billing group ARNs (up "},{"name":"list-pricing-plans","description":"Retrieves a list of pricing plans from AWS Billing Conductor.\n\nThis tool retrieve pricing plans for a given billing period.\nIf no billing period is provided, the current billing period is used.\n\nThe tool returns information about:\n- Pricing plan ARN, name, and description\n- Number of associated pricing rules (size)\n- Creation and last modified timestamps\n\nYou can filter pricing plans by:\n- Arns: Filter by specific pricing plan ARNs\n\nExample 1: {\"billing_period\": \"2025-01\"}\nExample 2: {\"filters\": \"{\"Arns\": [\"arn:aws:billingconductor::123456789012:pricingplan\/abc\"]}\", \"billing_period\": \"2025-01\"}"},{"name":"list-pricing-plans-for-rule","description":"Lists the pricing plans associated with a specific pricing rule.\n\nThis tool retrieve pricing plans associated with a specific pricing rule\nIf no billing period is provided, the current billing period is used.\n\nThe tool returns information about:\n- The billing period for which the pricing rule associations are listed.\n- The optional pagination token to be used on subsequent calls.\n- The ARN of the pricing rule for which associations are listed.\n- The list containing pricing plans that are associated with the requested pricing rule.\n\nExample: {\"pricing_rule_arn\": \"arn:aws:billingconductor::123456789012:pricingrule\/abc\"}"},{"name":"list-pricing-rules","description":"Retrieves a list of pricing rules from AWS Billing Conductor.\n\nThis tool retrieve pricing rules for a given billing period.\n\nThe tool returns information about:\n- Pricing rule ARN, name, and description\n- Type (MARKUP, DISCOUNT, or TIERING)\n- Scope (GLOBAL, SERVICE, BILLING_ENTITY, or SKU)\n- Modifier percentage, associated pricing plan count\n- Service, operation, usage type, billing entity\n- Tiering configuration, creation and last modified timestamps\n\nYou can filter pricing rules by:\n- Arns: Filter by specific pricing rule ARNs\n\nExample 1: {\"billing_period\": \"2025-01\"}\nExample 2: {\"filters\": \"{\"Arns\": [\"arn:aws:billingconductor::123456789012:pricingrule\/abc\"]}\", \"billing_period\": \"2025-01\"}"},{"name":"list-pricing-rules-for-plan","description":"Lists the pricing rules associated with a specific pricing plan.\n\nThis tool retrieve pricing rules associated with a specific pricing plan\nIf no billing period is provided, the current billing period is used.\n\nThe tool returns information about:\n- The billing period for which the pricing rule associations are listed.\n- The optional pagination token to be used on subsequent calls.\n- The ARN of the pricing plan for which associations are listed.\n- A list containing pricing rules that are associated with the requested pricing plan\n\nExample: {\"pricing_plan_arn\": \"arn:aws:billingconductor::123456789012:pricingplan\/abc\"}"},{"name":"list-resources-associated-to-custom-line-item","description":"Lists the resources associated to a custom line item from AWS Billing Conductor.\n\nThis tool retrieve resources associated with a specific custom line item.\nIf no billing period is provided, the current billing period is used.\n\nThe tool returns information about each associated resource:\n- Resource ARN (can be a billing group or custom line item)\n- End billing period of the association\n- Relationship type (PARENT or CHILD)\n\nYou can filter associated resources by:\n- Relationship: Filter by relationship type (\"PARENT\" or \"CHILD\")\n\nExample 1: {\"arn\": \"arn:aws:billingconductor::123456789012:customlineitem\/abcdef1234\"}\nExample 2: {\"arn\": \"...\", \"filters\": \"{\"Relationship\": \"CHILD\"}\", \"billing_period\": \"2025-01\"}"},{"name":"list-source-views-for-billing-view","description":"Lists the source views (managed AWS billing views) that a custom billing view\nis built from.\n\nA custom billing view is created as a \"multi-source view\" by combining cost management data\nfrom up to 20 source views. Source views are managed billing views (typically PRIMARY or other\nCUSTOM billing views) from the same or different AWS organizations. This enables consolidation\nof cost management data across multiple organizations into a single custom billing view.\n\nUse this tool to:\n- Understand the data lineage of a custom billing view (which source views feed its data)\n- Debug health issues: if a custom view is UNHEALTHY with SOURCE_VIEW_UNHEALTHY or\n SOURCE_VIEW_ACCESS_DENIED, inspect its source views to identify the problem\n- Audit cross-organization data consolidation (which orgs\/accounts contribute to this view)\n- Determine if the custom billing view aggregates data from a single org or multiple orgs\n\nThe tool paginates through results up to max_pages pages (default 10).\nIf more res"},{"name":"rec-details","description":"Get detailed cost optimization recommendation with integrated data from multiple AWS services.\n\nThis tool combines data from:\n- Cost Optimization Hub (base recommendation)\n- AWS Compute Optimizer (detailed metrics for compute resources)\n- Cost Explorer (Savings Plans\/RI purchase recommendations)\n\nIt provides comprehensive analysis with utilization metrics, savings calculations, and implementation guidance.\n\nRESPONSE FORMATTING INSTRUCTIONS:\nThe tool may return both raw recommendation data and a formatting template.\nWhen presenting the recommendation:\n1. If a template is provided, use it to organize your response\n2. If no template is provided, structure your response in a clear, logical manner\n3. Always include key information like resource details, savings amounts, and implementation steps\n4. Ensure all numeric values (costs, savings, metrics) are included\n5. Add natural language explanations to make the information more accessible"},{"name":"ri-performance","description":"Retrieves AWS Reserved Instance (RI) coverage and utilization data using the Cost Explorer API.\n\nThis tool provides insights into your Reserved Instance (RI) and Savings Plans usage patterns through two main operations:\n\n1. get_reservation_coverage: Shows how much of your eligible usage is covered by RIs\n - Helps identify opportunities to purchase additional RIs\n - Supports grouping by dimensions like REGION, INSTANCE_TYPE, etc.\n - Can filter by specific services, regions, or instance types\n\n2. get_reservation_utilization: Shows how effectively you're using your purchased RIs\n - Reveals underutilized or idle reserved capacity\n - Can be grouped by SUBSCRIPTION_ID to see utilization per RI\n - Helps identify RIs that could be modified or sold in the marketplace\n\nSupported dimensions for grouping reservation coverage:\n- AZ: Availability Zone\n- INSTANCE_TYPE: Instance type (e.g., m4.xlarge)\n- LINKED_ACCOUNT: Member accounts in organization\n- PLATFORM: Operating system\n- REGION: "},{"name":"session-sql","description":"Execute SQL queries on the persistent session database.\n\nThis tool queries tables created by other tools (like cost_explorer_sql) within the current session.\nAll tools share the same database, allowing cross-tool data analysis and joins.\n\nUse this tool to:\n- Query tables created by cost_explorer_sql and other tools\n- Join data from multiple AWS APIs\n- Perform complex analysis across different data sources\n\nCommon queries:\n- SELECT name FROM sqlite_master WHERE type='table' -- List all tables\n- SELECT * FROM [table_name] LIMIT 10 -- Preview table data"},{"name":"sp-performance","description":"Tool that retrieves AWS Savings Plans coverage and utilization data using the Cost Explorer API.\n\nThis tool provides insights into your Savings Plans usage patterns through three main operations:\n\n1. get_savings_plans_coverage: Shows how much of your eligible usage is covered by Savings Plans\n2. get_savings_plans_utilization: Shows overall utilization metrics for your Savings Plans\n3. get_savings_plans_utilization_details: Shows detailed per-Savings Plan utilization"},{"name":"storage-lens","description":"Query S3 Storage Lens metrics data using Athena SQL.\n\nIMPORTANT USAGE GUIDELINES:\n- Before using this tool, provide a 1-3 sentence explanation starting with \"EXPLANATION:\"\n- Use standard SQL syntax for Athena queries\n- Use {table} as a placeholder for the Storage Lens metrics table name\n- Perform aggregations (GROUP BY) when analyzing data across multiple dimensions\n\nThis tool allows you to analyze S3 Storage Lens metrics data using SQL queries.\nStorage Lens provides metrics about your S3 storage, including:\n\n- Storage metrics: Total bytes, object counts by storage class\n- Cost optimization metrics: Transition opportunities, incomplete multipart uploads\n- Data protection metrics: Replication, versioning, encryption status\n- Activity metrics: Upload, download, and request metrics\n\nSTORAGE LENS EXPORT SCHEMA:\nThe Storage Lens export data has the following standard columns:\n- version_number: The version of the S3 Storage Lens metrics being used\n- configuration_id: The configuration_id of "}],"tools_count":33,"secrets":[],"env":[{"name":"AWS_REGION","value":"{{awslabs-billing-cost-management.aws_region}}"},{"name":"AWS_PROFILE","value":"{{awslabs-billing-cost-management.aws_profile}}"},{"name":"STORAGE_LENS_MANIFEST_LOCATION","value":"{{awslabs-billing-cost-management.storage_lens_manifest_location}}"}],"config_schema":[{"name":"awslabs-billing-cost-management","description":"Configure AWS credentials and Storage Lens settings","type":"object","properties":{"aws_region":{"type":"string"},"aws_profile":{"type":"string"},"storage_lens_manifest_location":{"type":"string"}}}],"oauth":[],"zero_config":false,"needs_setup":true,"tools_after_setup":false,"network":true,"network_source":"catalog","installable":true,"install_reason":"","server_name":"awslabs-billing-cost-man","server_entry":{"command":"docker","args":["run","-i","--rm","--init","--security-opt","no-new-privileges","-e","AWS_PROFILE","-e","AWS_REGION","-e","STORAGE_LENS_MANIFEST_LOCATION","mcp\/billing-cost-management-mcp-server@sha256:40dae882d16cd356fca43874eaf808f1d971ab60818040dd33a5bc2333975f70"],"env":{"AWS_PROFILE":"{secret:awslabs-billing-cost-management.aws_profile}","AWS_REGION":"{secret:awslabs-billing-cost-management.aws_region}","STORAGE_LENS_MANIFEST_LOCATION":"{secret:awslabs-billing-cost-management.storage_lens_manifest_location}"},"x-labs":{"title":"AWS Billing and Cost Management","description":"Billing and cost management.","icon":"https:\/\/avatars.githubusercontent.com\/u\/3299148?v=4","timeout":30,"tools":[{"name":"aws-pricing","description":"Comprehensive AWS pricing analysis tool that provides access to AWS service pricing information and cost analysis capabilities.\n\nThis tool supports four main operations:\n1. get_service_codes: Get a comprehensive list of AWS service codes from the AWS Price List API\n2. get_service_attributes: Get filterable attributes for a specific AWS service's pricing\n3. get_attribute_values: Get all valid values for a specific attribute of an AWS service\n4. get_pricing_from_api: Get detailed pricing informati"},{"name":"bcm-pricing-calc","description":"Allows working with workload estimates using the AWS Billing and Cost Management Pricing Calculator API.\n\nIMPORTANT USAGE GUIDELINES:\n- Always first check the rate preference setting for the authorized principal by calling the get_preferences operation.\n- DO NOT state assumptions about Free Tier API\n\nUSE THIS TOOL FOR:\n- Listing available **workload estimates** for the logged in account.\n- **Filter list of available workload estimates** using name, status, created date, or expiration date.\n- Get"},{"name":"budgets","description":"Retrieves AWS budget information using the AWS Budgets API.\n\nThis tool uses the DescribeBudgets API to retrieve all budgets for an account.\n\nThe API returns information about:\n- Budget names, types, and time periods\n- Budget limits (amount and unit)\n- Current actual spend\n- Forecasted spend\n- Cost filters applied to budgets\n\nWith this information, you can determine which budgets have been exceeded or are projected to exceed their limits.\n\nThe tool automatically retrieves the AWS account ID of th"},{"name":"compute-optimizer","description":"Retrieves recommendations from AWS Compute Optimizer.\n\nIMPORTANT USAGE GUIDELINES:\n- Focus on recommendations with the highest estimated savings first\n- Include all relevant details when presenting specific recommendations\n\nUSE THIS TOOL FOR:\n- **Performance optimization** (CPU, memory, network utilization analysis)\n- **Performance-based rightsizing** (not cost-based)\n\nDO NOT USE FOR: Cost optimization or idle detection (use cost-optimization-hub)\n\n**Note:** Compute Optimizer is a regional servi"},{"name":"cost-anomaly","description":"Retrieves AWS cost anomalies using the Cost Explorer GetAnomalies API.\n\nThis tool allows you to retrieve cost anomalies detected on your AWS account during a specified time period.\nAnomalies are available for up to 90 days.\n\nYou can filter anomalies by:\n- Date range (required)\n- Monitor ARN (optional)\n- Feedback status (optional)\n- Total impact (optional)\n\nNote: Both start_date and end_date are INCLUSIVE. To get anomalies including today, use today's date as end_date.\n\nFeedback status options:\n-"},{"name":"cost-comparison","description":"Retrieves AWS cost comparisons between two one-month periods.\n\nDo not use this tool except for comparing the costs of one month to the costs of another month. This tool should not be used for week-over-week or quarter-over-quarter (e.g., comparing Q2 vs. Q1) analysis.\n\nUSE THIS TOOL ONLY FOR:\n- **Month-to-month cost variance analysis** (e.g., January vs February)\n- **Root cause analysis** of cost changes between specific months\n- **Detailed cost driver identification** (what exactly caused the c"},{"name":"cost-explorer","description":"Retrieves AWS cost and usage data using the Cost Explorer API.\n\nIMPORTANT USAGE GUIDELINES:\n- Use UnblendedCost metric by default (not BlendedCost) unless user specifies otherwise\n- Exclude record_types 'Credit' and 'Refund' by default unless user requests inclusion\n- Choose DAILY granularity for periods <3 months, MONTHLY for longer periods\n- Start with high-level dimensions (SERVICE, LINKED_ACCOUNT) before detailed ones\n- Always remember that the end_date is exclusive\n\nUSE THIS TOOL FOR:\n- **H"},{"name":"cost-optimization","description":"Retrieves cost optimization recommendations from AWS Cost Optimization Hub.\n\nIMPORTANT USAGE GUIDELINES:\n- Focus on recommendations with the highest estimated savings first\n- Include all relevant details when presenting specific recommendations\n\nUSE THIS TOOL FOR:\n- **Idle\/unused resource detection** (EC2, RDS, EBS, Lambda, etc.)\n- **Cost savings recommendations** (rightsizing, stopping, deleting resources)\n- **Reserved Instance and Savings Plans purchase recommendations**\n- **Cross-service cost"},{"name":"describe-cost-category-definition","description":"Returns the full definition of a cost category using the DescribeCostCategoryDefinition API.\n\nCost categories group AWS costs using rule-based expressions that match line items by\ndimensions (SERVICE, LINKED_ACCOUNT, USAGE_TYPE), resource tags, or other cost category\nvalues. Each matched line item is assigned a category value such as \"Production\" or\n\"Development\". Rules can be REGULAR (explicit match) or INHERITED_VALUE (dynamic value\nfrom a tag key or account name). A DefaultValue catches costs"},{"name":"free-tier-usage","description":"Retrieves AWS Free Tier usage information using the Free Tier Usage API.\n\nThis tool provides insights into your AWS Free Tier usage across services:\n\n1. get_free_tier_usage: Shows your current Free Tier usage across AWS services\n - Helps identify where you are approaching Free Tier limits\n - Shows actual usage against Free Tier allocations\n - Supports filtering by service, region, or usage type\n - Possible Dimensions values are: 'SERVICE'|'OPERATION'|'USAGE_TYPE'|'REGION'|'FREE_TIER_TYPE"},{"name":"get-billing-group-cost-report","description":"Retrieves the margin summary report for a specific billing group, which includes\nthe AWS cost and charged amount (pro forma cost) broken down by attributes such as AWS service\nname or billing period.\n\nThis tool retrieve detailed cost reports for a\nsingle billing group, optionally broken down by product name and\/or billing period.\n\nThe tool returns margin summary report results for the billing group:\n- Billing group ARN\n- Attributes (key-value pairs for grouping, e.g., PRODUCT_NAME: \"S3\", BILLING"},{"name":"get-billing-view","description":"Returns the metadata associated to the specified billing view ARN.\n\nA billing view is an AWS resource that defines a segment of AWS cost management data.\nThere are four types of billing views:\n- PRIMARY: The default billing view containing all cost management data for an account.\n For management accounts in an organization, this includes all data across the organization.\n- BILLING_GROUP: Billing views corresponding to billing groups created in AWS Billing Conductor.\n- CUSTOM: Customer-created b"},{"name":"get-resource-policy","description":"Returns the resource-based policy document attached to the resource in JSON format.\n\nResource-based policies are used to control access to billing view resources. When a custom\nbilling view is shared with other accounts (within or outside the organization) using AWS\nResource Access Manager (AWS RAM), a resource-based policy is attached to the billing view\nresource defining the access permissions.\n\nUse this tool to:\n- Inspect the sharing permissions of a billing view to understand which accounts "},{"name":"list-account-associations","description":"Lists linked accounts associated with the payer account from AWS Billing Conductor.\n\nThis tool retrieve linked accounts for a given billing period.\nIf no billing period is provided, the current billing period is used.\n\nThe tool returns information about each linked account:\n- Account ID\n- Account name\n- Account email\n- Billing group ARN (if associated to a billing group)\n\nYou can filter account associations by:\n- AccountId: Filter by a specific AWS account ID\n- AccountIds: Filter by a list of AW"},{"name":"list-billing-group-cost-reports","description":"Retrieves a summary report of actual AWS charges and calculated AWS charges\nbased on the associated pricing plan of a billing group.\n\nThis tool retrieve cost reports for billing groups.\nIf no billing period is provided, the current billing period is used.\n\nThe tool returns cost report information for each billing group:\n- Billing group ARN\n- AWS cost (actual AWS charges)\n- Proforma cost (hypothetical charges based on the associated pricing plan)\n- Margin (billing group margin)\n- Margin percentag"},{"name":"list-billing-groups","description":"Retrieves a list of billing groups from AWS Billing Conductor.\n\nThis tool retrieve billing groups for a given billing period.\nIf no billing period is provided, the current billing period is used.\n\nThe tool returns information about:\n- Billing group ARN, name, and description\n- Billing group type (STANDARD or TRANSFER_BILLING)\n- Billing group status (ACTIVE, PRIMARY_ACCOUNT_MISSING, or PENDING)\n- Primary account ID\n- Computation preference (pricing plan ARN)\n- Account grouping settings (auto-asso"},{"name":"list-billing-views","description":"Lists the billing views available for a given time period.\n\nEvery AWS account has a unique PRIMARY billing view that represents the billing data\navailable by default. Accounts that use AWS Billing Conductor also have BILLING_GROUP\nbilling views representing pro forma costs associated with each created billing group.\n\nIf activeTimeRange is provided, only billing views that were active during that time window are returned.\nElse, all billing views that ever existed are returned, including views for"},{"name":"list-cost-allocation-tag-backfill-history","description":"Retrieves the history of cost allocation tag backfill requests using the\nListCostAllocationTagBackfillHistory API.\n\nBackfill retroactively applies the current tag activation status to historical billing data.\nWithout backfill, tag activation only affects future billing periods.\n\nBackfill requests progress through these states:\n- SCHEDULED: Initial state when the backfill is requested\n- PROCESSING: System is rewriting historical tag data and reprocessing bills\n- SUCCEEDED: Backfill completed, his"},{"name":"list-cost-allocation-tags","description":"Lists cost allocation tags in the account using the ListCostAllocationTags API.\n\nCost allocation tags must be activated before they appear in Cost Explorer, CUR, and budgets.\nThere are two types: AWSGenerated (auto-created by AWS services like aws:createdBy) and\nUserDefined (created by customers via resource tagging APIs).\n\nThe tool returns CostAllocationTag objects containing:\n- TagKey, Type (AWSGenerated\/UserDefined), Status (Active\/Inactive)\n- LastUpdatedDate (when activation status last chan"},{"name":"list-cost-category-definitions","description":"Lists all cost category definitions in the account using the ListCostCategoryDefinitions API.\n\nReturns lightweight references for each cost category, not full rule definitions. Use\ndescribe-cost-category-definition with the returned ARN to get the complete rule set.\n\nThe tool returns CostCategoryReference objects containing:\n- CostCategoryArn, Name (unique, case-sensitive), NumberOfRules\n- EffectiveStart, EffectiveEnd (null if current)\n- DefaultValue, Values (all category values defined in the r"},{"name":"list-custom-line-item-versions","description":"Retrieves a list of versions for a specific custom line item from AWS Billing Conductor.\n\nThis tool retrieve all versions of a custom line item.\nIf no billing period is provided, the current billing period is used.\n\nThe tool returns information about each version including charge details, computation rule,\nbilling periods, and timestamps.\n\nYou can filter versions by:\n- BillingPeriodRange: Filter by start and\/or end billing period\n\nExample 1: {\"arn\": \"arn:aws:billingconductor::123456789012:custom"},{"name":"list-custom-line-items","description":"Retrieves a list of custom line items (FFLIs) from AWS Billing Conductor.\n\nCustom line items let you allocate costs and discounts to designated AWS accounts within a\nbilling group. Common use cases include allocating support fees, shared service costs, managed\nservice fees, taxes, credits, and distributing RI\/Savings Plans savings.\n\nThis tool retrieve custom line items for a given billing period.\nIf no billing period is provided, the current billing period is used.\n\nThe tool returns information "},{"name":"list-pricing-plans","description":"Retrieves a list of pricing plans from AWS Billing Conductor.\n\nThis tool retrieve pricing plans for a given billing period.\nIf no billing period is provided, the current billing period is used.\n\nThe tool returns information about:\n- Pricing plan ARN, name, and description\n- Number of associated pricing rules (size)\n- Creation and last modified timestamps\n\nYou can filter pricing plans by:\n- Arns: Filter by specific pricing plan ARNs\n\nExample 1: {\"billing_period\": \"2025-01\"}\nExample 2: {\"filters\":"},{"name":"list-pricing-plans-for-rule","description":"Lists the pricing plans associated with a specific pricing rule.\n\nThis tool retrieve pricing plans associated with a specific pricing rule\nIf no billing period is provided, the current billing period is used.\n\nThe tool returns information about:\n- The billing period for which the pricing rule associations are listed.\n- The optional pagination token to be used on subsequent calls.\n- The ARN of the pricing rule for which associations are listed.\n- The list containing pricing plans that are associa"},{"name":"list-pricing-rules","description":"Retrieves a list of pricing rules from AWS Billing Conductor.\n\nThis tool retrieve pricing rules for a given billing period.\n\nThe tool returns information about:\n- Pricing rule ARN, name, and description\n- Type (MARKUP, DISCOUNT, or TIERING)\n- Scope (GLOBAL, SERVICE, BILLING_ENTITY, or SKU)\n- Modifier percentage, associated pricing plan count\n- Service, operation, usage type, billing entity\n- Tiering configuration, creation and last modified timestamps\n\nYou can filter pricing rules by:\n- Arns: Fi"},{"name":"list-pricing-rules-for-plan","description":"Lists the pricing rules associated with a specific pricing plan.\n\nThis tool retrieve pricing rules associated with a specific pricing plan\nIf no billing period is provided, the current billing period is used.\n\nThe tool returns information about:\n- The billing period for which the pricing rule associations are listed.\n- The optional pagination token to be used on subsequent calls.\n- The ARN of the pricing plan for which associations are listed.\n- A list containing pricing rules that are associate"},{"name":"list-resources-associated-to-custom-line-item","description":"Lists the resources associated to a custom line item from AWS Billing Conductor.\n\nThis tool retrieve resources associated with a specific custom line item.\nIf no billing period is provided, the current billing period is used.\n\nThe tool returns information about each associated resource:\n- Resource ARN (can be a billing group or custom line item)\n- End billing period of the association\n- Relationship type (PARENT or CHILD)\n\nYou can filter associated resources by:\n- Relationship: Filter by relatio"},{"name":"list-source-views-for-billing-view","description":"Lists the source views (managed AWS billing views) that a custom billing view\nis built from.\n\nA custom billing view is created as a \"multi-source view\" by combining cost management data\nfrom up to 20 source views. Source views are managed billing views (typically PRIMARY or other\nCUSTOM billing views) from the same or different AWS organizations. This enables consolidation\nof cost management data across multiple organizations into a single custom billing view.\n\nUse this tool to:\n- Understand the"},{"name":"rec-details","description":"Get detailed cost optimization recommendation with integrated data from multiple AWS services.\n\nThis tool combines data from:\n- Cost Optimization Hub (base recommendation)\n- AWS Compute Optimizer (detailed metrics for compute resources)\n- Cost Explorer (Savings Plans\/RI purchase recommendations)\n\nIt provides comprehensive analysis with utilization metrics, savings calculations, and implementation guidance.\n\nRESPONSE FORMATTING INSTRUCTIONS:\nThe tool may return both raw recommendation data and a "},{"name":"ri-performance","description":"Retrieves AWS Reserved Instance (RI) coverage and utilization data using the Cost Explorer API.\n\nThis tool provides insights into your Reserved Instance (RI) and Savings Plans usage patterns through two main operations:\n\n1. get_reservation_coverage: Shows how much of your eligible usage is covered by RIs\n - Helps identify opportunities to purchase additional RIs\n - Supports grouping by dimensions like REGION, INSTANCE_TYPE, etc.\n - Can filter by specific services, regions, or instance type"},{"name":"session-sql","description":"Execute SQL queries on the persistent session database.\n\nThis tool queries tables created by other tools (like cost_explorer_sql) within the current session.\nAll tools share the same database, allowing cross-tool data analysis and joins.\n\nUse this tool to:\n- Query tables created by cost_explorer_sql and other tools\n- Join data from multiple AWS APIs\n- Perform complex analysis across different data sources\n\nCommon queries:\n- SELECT name FROM sqlite_master WHERE type='table' -- List all tables\n- S"},{"name":"sp-performance","description":"Tool that retrieves AWS Savings Plans coverage and utilization data using the Cost Explorer API.\n\nThis tool provides insights into your Savings Plans usage patterns through three main operations:\n\n1. get_savings_plans_coverage: Shows how much of your eligible usage is covered by Savings Plans\n2. get_savings_plans_utilization: Shows overall utilization metrics for your Savings Plans\n3. get_savings_plans_utilization_details: Shows detailed per-Savings Plan utilization"},{"name":"storage-lens","description":"Query S3 Storage Lens metrics data using Athena SQL.\n\nIMPORTANT USAGE GUIDELINES:\n- Before using this tool, provide a 1-3 sentence explanation starting with \"EXPLANATION:\"\n- Use standard SQL syntax for Athena queries\n- Use {table} as a placeholder for the Storage Lens metrics table name\n- Perform aggregations (GROUP BY) when analyzing data across multiple dimensions\n\nThis tool allows you to analyze S3 Storage Lens metrics data using SQL queries.\nStorage Lens provides metrics about your S3 storag"}],"config":[{"name":"awslabs-billing-cost-management.aws_region","description":"","type":"string","secret":false,"required":true},{"name":"awslabs-billing-cost-management.aws_profile","description":"","type":"string","secret":false,"required":true},{"name":"awslabs-billing-cost-management.storage_lens_manifest_location","description":"","type":"string","secret":false,"required":true}],"needs_setup":true,"network":true,"prepull":["mcp\/billing-cost-management-mcp-server@sha256:40dae882d16cd356fca43874eaf808f1d971ab60818040dd33a5bc2333975f70"]}},"settings":[{"name":"awslabs-billing-cost-management.aws_region","description":"","type":"string","required":true,"example":"","default":""},{"name":"awslabs-billing-cost-management.aws_profile","description":"","type":"string","required":true,"example":"","default":""},{"name":"awslabs-billing-cost-management.storage_lens_manifest_location","description":"","type":"string","required":true,"example":"","default":""}],"docs_url":"https:\/\/desktop.docker.com\/mcp\/catalog\/v3\/readme\/awslabs-billing-cost-management.md"},"source_kind":"docker-mcp-catalog","license":"Apache License 2.0","upstream":"https:\/\/github.com\/awslabs\/mcp","owner":"awslabs","tags":["aws"],"popularity":{"pulls":48973,"stars":1,"github_stars":9769},"readme_url":"https:\/\/desktop.docker.com\/mcp\/catalog\/v3\/readme\/awslabs-billing-cost-management.md","date_added":"2025-11-06T18:02:41Z","packaged_by":"Docker"},{"slug":"mcp-aws-cdk-mcp-server","name":"AWS CDK","description":"AWS Cloud Development Kit (CDK) best practices, infrastructure as code patterns, and security compliance with CDK Nag.","category":"mcp","publisher":"docker","icon":"","icon_small":"","icon_url":"\/icon\/mcp-aws-cdk-mcp-server?v=be3b49cbd4ce.6314dc26","readme":true,"page_url":"https:\/\/store.selfmade.work\/app\/mcp-aws-cdk-mcp-server","first_party":false,"publisher_verified":true,"updated_at":1791851257,"image":{"state":"built","ref":"mcp\/aws-cdk-mcp-server@sha256:6973319affc44c493013b4b2fea12444a503fd99da088e05e89ad427a8c91aba","digest":"sha256:6973319affc44c493013b4b2fea12444a503fd99da088e05e89ad427a8c91aba"},"version":"be3b49cbd4ce0029d983b496a45106a709393241","state":"listed","versions":[],"repo_url":"https:\/\/github.com\/awslabs\/mcp\/tree\/780e3f1d57c77f9c0b88279711c5b95e23cfb91d\/src\/cdk-mcp-server","requires":{"render":false,"driver":"sysbox","min_plan":null},"categories":["devops","mcp-servers"],"categories_source":"derived","kind":"mcp","installs":0,"pull_count":49284,"tools_count":7,"known_publisher":false,"remote":false,"config_kind":"none","created_at":1746475474,"mcp":{"key":"aws-cdk-mcp-server","type":"server","transport":"stdio","image":"mcp\/aws-cdk-mcp-server","digest":"sha256:6973319affc44c493013b4b2fea12444a503fd99da088e05e89ad427a8c91aba","remote_url":"","tools":[{"name":"CDKGeneralGuidance","description":"Use this tool to get prescriptive CDK advice for building applications on AWS."},{"name":"CheckCDKNagSuppressions","description":"DEPRECATED: This tool is deprecated. Please use the AWS IaC MCP Server instead.\n\nCheck if CDK code contains Nag suppressions that require human review.\n\nScans TypeScript\/JavaScript code for NagSuppressions usage to ensure security\nsuppressions receive proper human oversight and justification."},{"name":"ExplainCDKNagRule","description":"Explain a specific CDK Nag rule with AWS Well-Architected guidance.\n\nCDK Nag is a crucial tool for ensuring your CDK applications follow AWS security best practices.\n\nBasic implementation:\n```typescript\nimport { App } from 'aws-cdk-lib';\nimport { AwsSolutionsChecks } from 'cdk-nag';\n\nconst app = new App();\n\/\/ Create your stack\nconst stack = new MyStack(app, 'MyStack');\n\/\/ Apply CDK Nag\nAwsSolutionsChecks.check(app);\n```\n\nOptional integration patterns:\n\n1. Using environment variables:\n```typescript\nif (process.env.ENABLE_CDK_NAG === 'true') {\n AwsSolutionsChecks.check(app);\n}\n```\n\n2. Using CDK context parameters:\n```typescript\n3. Environment-specific application:\n```typescript\nconst environment = app.node.tryGetContext('environment') || 'development';\nif (['production', 'staging'].includes(environment)) {\n AwsSolutionsChecks.check(stack);\n}\n```\n\nFor more information on specific rule packs:\n- Use resource `cdk-nag:\/\/rules\/{rule_pack}` to get all rules for a specific pack\n- Use resource"},{"name":"GenerateBedrockAgentSchema","description":"DEPRECATED: This tool is deprecated. Please use the AWS IaC MCP Server instead.\n\nGenerate OpenAPI schema for Bedrock Agent Action Groups from a file.\n\nThis tool converts a Lambda file with BedrockAgentResolver into a Bedrock-compatible\nOpenAPI schema. It uses a progressive approach to handle common issues:\n1. Direct import of the Lambda file\n2. Simplified version with problematic imports commented out\n3. Fallback script generation if needed"},{"name":"GetAwsSolutionsConstructPattern","description":"Search and discover AWS Solutions Constructs patterns.\n\nAWS Solutions Constructs are vetted architecture patterns that combine multiple\nAWS services to solve common use cases following AWS Well-Architected best practices.\n\nKey benefits:\n- Accelerated Development: Implement common patterns without boilerplate code\n- Best Practices Built-in: Security, reliability, and performance best practices\n- Reduced Complexity: Simplified interfaces for multi-service architectures\n- Well-Architected: Patterns follow AWS Well-Architected Framework principles\n\nWhen to use Solutions Constructs:\n- Implementing common architecture patterns (e.g., API + Lambda + DynamoDB)\n- You want secure defaults and best practices applied automatically\n- You need to quickly prototype or build production-ready infrastructure\n\nThis tool provides metadata about patterns. For complete documentation,\nuse the resource URI returned in the 'documentation_uri' field."},{"name":"LambdaLayerDocumentationProvider","description":"Provide documentation sources for Lambda layers.\n\nThis tool returns information about where to find documentation for Lambda layers\nand instructs the MCP Client to fetch and process this documentation."},{"name":"SearchGenAICDKConstructs","description":"Search for GenAI CDK constructs by name or type.\n\nThe search is flexible and will match any of your search terms (OR logic).\nIt handles common variations like singular\/plural forms and terms with\/without spaces.\nContent is fetched dynamically from GitHub to ensure the most up-to-date documentation.\n\nExamples:\n- \"bedrock agent\" - Returns all agent-related constructs\n- \"knowledgebase vector\" - Returns knowledge base constructs related to vector stores\n- \"agent actiongroups\" - Returns action groups for agents\n- \"opensearch vector\" - Returns OpenSearch vector constructs\n\nThe search supports subdirectory content (like knowledge bases and their sections)\nand will find matches across all available content."}],"tools_count":7,"secrets":[],"env":[],"config_schema":[],"oauth":[],"zero_config":true,"needs_setup":false,"tools_after_setup":false,"network":true,"network_source":"catalog","installable":true,"install_reason":"","server_name":"aws-cdk-mcp-server","server_entry":{"command":"docker","args":["run","-i","--rm","--init","--security-opt","no-new-privileges","mcp\/aws-cdk-mcp-server@sha256:6973319affc44c493013b4b2fea12444a503fd99da088e05e89ad427a8c91aba"],"x-labs":{"title":"AWS CDK","description":"AWS Cloud Development Kit (CDK) best practices, infrastructure as code patterns, and security compliance with CDK Nag.","icon":"https:\/\/avatars.githubusercontent.com\/u\/3299148?v=4","timeout":30,"tools":[{"name":"CDKGeneralGuidance","description":"Use this tool to get prescriptive CDK advice for building applications on AWS."},{"name":"CheckCDKNagSuppressions","description":"DEPRECATED: This tool is deprecated. Please use the AWS IaC MCP Server instead.\n\nCheck if CDK code contains Nag suppressions that require human review.\n\nScans TypeScript\/JavaScript code for NagSuppressions usage to ensure security\nsuppressions receive proper human oversight and justification."},{"name":"ExplainCDKNagRule","description":"Explain a specific CDK Nag rule with AWS Well-Architected guidance.\n\nCDK Nag is a crucial tool for ensuring your CDK applications follow AWS security best practices.\n\nBasic implementation:\n```typescript\nimport { App } from 'aws-cdk-lib';\nimport { AwsSolutionsChecks } from 'cdk-nag';\n\nconst app = new App();\n\/\/ Create your stack\nconst stack = new MyStack(app, 'MyStack');\n\/\/ Apply CDK Nag\nAwsSolutionsChecks.check(app);\n```\n\nOptional integration patterns:\n\n1. Using environment variables:\n```typescri"},{"name":"GenerateBedrockAgentSchema","description":"DEPRECATED: This tool is deprecated. Please use the AWS IaC MCP Server instead.\n\nGenerate OpenAPI schema for Bedrock Agent Action Groups from a file.\n\nThis tool converts a Lambda file with BedrockAgentResolver into a Bedrock-compatible\nOpenAPI schema. It uses a progressive approach to handle common issues:\n1. Direct import of the Lambda file\n2. Simplified version with problematic imports commented out\n3. Fallback script generation if needed"},{"name":"GetAwsSolutionsConstructPattern","description":"Search and discover AWS Solutions Constructs patterns.\n\nAWS Solutions Constructs are vetted architecture patterns that combine multiple\nAWS services to solve common use cases following AWS Well-Architected best practices.\n\nKey benefits:\n- Accelerated Development: Implement common patterns without boilerplate code\n- Best Practices Built-in: Security, reliability, and performance best practices\n- Reduced Complexity: Simplified interfaces for multi-service architectures\n- Well-Architected: Patterns"},{"name":"LambdaLayerDocumentationProvider","description":"Provide documentation sources for Lambda layers.\n\nThis tool returns information about where to find documentation for Lambda layers\nand instructs the MCP Client to fetch and process this documentation."},{"name":"SearchGenAICDKConstructs","description":"Search for GenAI CDK constructs by name or type.\n\nThe search is flexible and will match any of your search terms (OR logic).\nIt handles common variations like singular\/plural forms and terms with\/without spaces.\nContent is fetched dynamically from GitHub to ensure the most up-to-date documentation.\n\nExamples:\n- \"bedrock agent\" - Returns all agent-related constructs\n- \"knowledgebase vector\" - Returns knowledge base constructs related to vector stores\n- \"agent actiongroups\" - Returns action groups"}],"config":[],"needs_setup":false,"network":true,"prepull":["mcp\/aws-cdk-mcp-server@sha256:6973319affc44c493013b4b2fea12444a503fd99da088e05e89ad427a8c91aba"]}},"settings":[],"docs_url":"https:\/\/desktop.docker.com\/mcp\/catalog\/v3\/readme\/aws-cdk-mcp-server.md"},"source_kind":"docker-mcp-catalog","license":"Apache License 2.0","upstream":"https:\/\/github.com\/awslabs\/mcp","owner":"awslabs","tags":["aws-cdk-mcp-server","devops"],"popularity":{"pulls":49284,"stars":0,"github_stars":9769},"readme_url":"https:\/\/desktop.docker.com\/mcp\/catalog\/v3\/readme\/aws-cdk-mcp-server.md","date_added":"2025-05-05T20:04:34Z","packaged_by":"Docker"},{"slug":"mcp-awslabs-ccapi","name":"AWS Cloud Control API","description":"Direct resource management with security scanning.","category":"mcp","publisher":"docker","icon":"","icon_small":"","icon_url":"\/icon\/mcp-awslabs-ccapi?v=338d304bbcd1.6314dc26","readme":true,"page_url":"https:\/\/store.selfmade.work\/app\/mcp-awslabs-ccapi","first_party":false,"publisher_verified":true,"updated_at":1791851278,"image":{"state":"built","ref":"mcp\/ccapi-mcp-server@sha256:b53d235b43c46a7e6dc8fee8711b1669d46795d6b9d4d0d5d17aeb136fbdbb2b","digest":"sha256:b53d235b43c46a7e6dc8fee8711b1669d46795d6b9d4d0d5d17aeb136fbdbb2b"},"version":"338d304bbcd1aaa3d141be511c8fde18a6029509","state":"listed","versions":[],"repo_url":"https:\/\/github.com\/awslabs\/mcp\/tree\/636aca8e109b5559006044f035bb89c16e9e5410\/src\/ccapi-mcp-server","requires":{"render":false,"driver":"sysbox","min_plan":null},"categories":["devops","mcp-servers"],"categories_source":"derived","kind":"mcp","installs":0,"pull_count":14516,"tools_count":14,"known_publisher":false,"remote":false,"config_kind":"secrets","created_at":1762452161,"mcp":{"key":"awslabs-ccapi","type":"server","transport":"stdio","image":"mcp\/ccapi-mcp-server","digest":"sha256:b53d235b43c46a7e6dc8fee8711b1669d46795d6b9d4d0d5d17aeb136fbdbb2b","remote_url":"","tools":[{"name":"check_environment_variables","description":"Check if required environment variables are set correctly."},{"name":"create_resource","description":"Create an AWS resource.\n\nThis tool automatically adds default identification tags to all resources for support and troubleshooting purposes.\n\nIMPORTANT: Always check the response for 'security_warning' field and display any warnings to the user."},{"name":"create_template","description":"Create a CloudFormation template from existing resources using the IaC Generator API.\n\nThis tool allows you to generate CloudFormation templates from existing AWS resources\nthat are not already managed by CloudFormation. The template generation process is\nasynchronous, so you can check the status of the process and retrieve the template\nonce it's complete. You can pass up to 500 resources at a time.\n\nIMPORTANT FOR LLMs: This tool only generates CloudFormation templates. If users request\nother IaC formats (Terraform, CDK, etc.), follow this workflow:\n1. Use create_template() to generate CloudFormation template from existing resources\n2. Convert the CloudFormation to the requested format using your native capabilities\n3. For Terraform specifically: Create both resource definitions AND import blocks\n so users can import existing resources into Terraform state\n \u26a0\ufe0f ALWAYS USE TERRAFORM IMPORT BLOCKS (NOT TERRAFORM IMPORT COMMANDS) \u26a0\ufe0f\n4. Provide both the original CloudFormation and conve"},{"name":"delete_resource","description":"Delete an AWS resource."},{"name":"explain","description":"MANDATORY: Explain any data in clear, human-readable format.\n\nFor infrastructure operations (create\/update\/delete):\n- CONSUMES generated_code_token and returns explained_token\n- You MUST immediately display the returned explanation to user\n- You MUST use the returned explained_token for create\/update\/delete operations\n\nFor general data explanation:\n- Pass any data in 'content' parameter\n- Provides comprehensive explanation of the data structure\n\nCRITICAL: You MUST immediately display the full explanation content to the user after calling this tool.\nThe response contains an 'explanation' field that you MUST show to the user - this is MANDATORY.\nNever proceed with create\/update\/delete operations without first showing the user what will happen.\n\nReturns:\n explanation: Comprehensive explanation you MUST display to user\n explained_token: New token for infrastructure operations (if applicable)"},{"name":"generate_infrastructure_code","description":"Generate infrastructure code before resource creation or update."},{"name":"get_aws_account_info","description":"Get information about the current AWS account being used.\n\nCommon questions this tool answers:\n- \"What AWS account am I using?\"\n- \"Which AWS region am I in?\"\n- \"What AWS profile is being used?\"\n- \"Show me my current AWS session information\"\n\nReturns:\n A dictionary containing AWS account information:\n {\n \"profile\": The AWS profile name being used,\n \"account_id\": The AWS account ID,\n \"region\": The AWS region being used,\n \"readonly_mode\": True if the server is in read-only mode,\n \"readonly_message\": A message about read-only mode limitations if enabled,\n \"using_env_vars\": Boolean indicating if using environment variables for credentials\n }"},{"name":"get_aws_session_info","description":"Get information about the current AWS session.\n\nThis tool provides details about the current AWS session, including the profile name,\naccount ID, region, and credential information. Use this when you need to confirm which\nAWS session and account you're working with.\n\nIMPORTANT: Always display the AWS context information to the user when this tool is called.\nShow them: AWS Profile (or \"Environment Variables\"), Authentication Type, Account ID, and Region so they know\nexactly which AWS account and region will be affected by any operations.\n\nAuthentication types to display:\n- 'env': \"Environment Variables (AWS_ACCESS_KEY_ID)\"\n- 'sso_profile': \"AWS SSO Profile\"\n- 'assume_role_profile': \"Assume Role Profile\"\n- 'standard_profile': \"Standard AWS Profile\"\n- 'profile': \"AWS Profile\"\n\nSECURITY: If displaying environment variables that contain sensitive values (AWS_ACCESS_KEY_ID,\nAWS_SECRET_ACCESS_KEY), mask all but the last 4 characters with asterisks (e.g., \"AKIA****1234\").\n\nReturns:\n A dicti"},{"name":"get_resource","description":"Get details of a specific AWS resource."},{"name":"get_resource_request_status","description":"Get the status of a long running operation with the request token."},{"name":"get_resource_schema_information","description":"Get schema information for an AWS resource.\n\nParameters:\n resource_type: The AWS resource type (e.g., \"AWS::S3::Bucket\")\n\nReturns:\n The resource schema information"},{"name":"list_resources","description":"List AWS resources of a specified type.\n\nParameters:\n resource_type: The AWS resource type (e.g., \"AWS::S3::Bucket\", \"AWS::RDS::DBInstance\")\n region: AWS region to use (e.g., \"us-east-1\", \"us-west-2\")\n\n\nReturns:\n A dictionary containing:\n {\n \"resources\": List of resource identifiers\n }"},{"name":"run_checkov","description":"Run Checkov security and compliance scanner on server-stored CloudFormation template.\n\nSECURITY: This tool only scans CloudFormation templates stored server-side from generate_infrastructure_code().\nAI agents cannot provide different content to bypass security scanning.\n\nCRITICAL WORKFLOW REQUIREMENTS:\nALWAYS after running this tool:\n1. Call explain() to show the security scan results to the user (both passed and failed checks)\n\nIf scan_status='FAILED' (security issues found):\n2. Ask the user how they want to proceed: \"fix\", \"proceed anyway\", or \"cancel\"\n3. WAIT for the user's actual response - do not assume their decision\n4. Only after receiving user input, call approve_security_findings() with their decision\n\nIf scan_status='PASSED' (all checks passed):\n2. You can proceed directly to create_resource() after showing the results\n\nWORKFLOW REQUIREMENTS:\n1. ALWAYS provide a concise summary of security findings (passed\/failed checks)\n2. Only show detailed output if user specifically reque"},{"name":"update_resource","description":"Update an AWS resource.\n\nIMPORTANT: Always check the response for 'security_warning' field and display any warnings to the user."}],"tools_count":14,"secrets":[{"name":"awslabs-ccapi.aws_secret_access_key","env":"AWS_SECRET_ACCESS_KEY","description":"","example":"your-aws-secret-access-key"}],"env":[{"name":"AWS_REGION","value":"{{awslabs-ccapi.aws_region}}"},{"name":"AWS_PROFILE","value":"{{awslabs-ccapi.aws_profile}}"},{"name":"AWS_ACCESS_KEY_ID","value":"{{awslabs-ccapi.aws_access_key_id}}"}],"config_schema":[{"name":"awslabs-ccapi","description":"Configure AWS credentials for Cloud Control API access","type":"object","properties":{"aws_region":{"type":"string"},"aws_profile":{"type":"string"},"aws_access_key_id":{"type":"string"}}}],"oauth":[],"zero_config":false,"needs_setup":true,"tools_after_setup":false,"network":true,"network_source":"catalog","installable":true,"install_reason":"","server_name":"awslabs-ccapi","server_entry":{"command":"docker","args":["run","-i","--rm","--init","--security-opt","no-new-privileges","-e","AWS_ACCESS_KEY_ID","-e","AWS_PROFILE","-e","AWS_REGION","-e","AWS_SECRET_ACCESS_KEY","mcp\/ccapi-mcp-server@sha256:b53d235b43c46a7e6dc8fee8711b1669d46795d6b9d4d0d5d17aeb136fbdbb2b"],"env":{"AWS_ACCESS_KEY_ID":"{secret:awslabs-ccapi.aws_access_key_id}","AWS_PROFILE":"{secret:awslabs-ccapi.aws_profile}","AWS_REGION":"{secret:awslabs-ccapi.aws_region}","AWS_SECRET_ACCESS_KEY":"{secret:awslabs-ccapi.aws_secret_access_key}"},"x-labs":{"title":"AWS Cloud Control API","description":"Direct resource management with security scanning.","icon":"https:\/\/avatars.githubusercontent.com\/u\/3299148?v=4","timeout":30,"tools":[{"name":"check_environment_variables","description":"Check if required environment variables are set correctly."},{"name":"create_resource","description":"Create an AWS resource.\n\nThis tool automatically adds default identification tags to all resources for support and troubleshooting purposes.\n\nIMPORTANT: Always check the response for 'security_warning' field and display any warnings to the user."},{"name":"create_template","description":"Create a CloudFormation template from existing resources using the IaC Generator API.\n\nThis tool allows you to generate CloudFormation templates from existing AWS resources\nthat are not already managed by CloudFormation. The template generation process is\nasynchronous, so you can check the status of the process and retrieve the template\nonce it's complete. You can pass up to 500 resources at a time.\n\nIMPORTANT FOR LLMs: This tool only generates CloudFormation templates. If users request\nother Ia"},{"name":"delete_resource","description":"Delete an AWS resource."},{"name":"explain","description":"MANDATORY: Explain any data in clear, human-readable format.\n\nFor infrastructure operations (create\/update\/delete):\n- CONSUMES generated_code_token and returns explained_token\n- You MUST immediately display the returned explanation to user\n- You MUST use the returned explained_token for create\/update\/delete operations\n\nFor general data explanation:\n- Pass any data in 'content' parameter\n- Provides comprehensive explanation of the data structure\n\nCRITICAL: You MUST immediately display the full ex"},{"name":"generate_infrastructure_code","description":"Generate infrastructure code before resource creation or update."},{"name":"get_aws_account_info","description":"Get information about the current AWS account being used.\n\nCommon questions this tool answers:\n- \"What AWS account am I using?\"\n- \"Which AWS region am I in?\"\n- \"What AWS profile is being used?\"\n- \"Show me my current AWS session information\"\n\nReturns:\n A dictionary containing AWS account information:\n {\n \"profile\": The AWS profile name being used,\n \"account_id\": The AWS account ID,\n \"region\": The AWS region being used,\n \"readonly_mode\": True if the server is in r"},{"name":"get_aws_session_info","description":"Get information about the current AWS session.\n\nThis tool provides details about the current AWS session, including the profile name,\naccount ID, region, and credential information. Use this when you need to confirm which\nAWS session and account you're working with.\n\nIMPORTANT: Always display the AWS context information to the user when this tool is called.\nShow them: AWS Profile (or \"Environment Variables\"), Authentication Type, Account ID, and Region so they know\nexactly which AWS account and "},{"name":"get_resource","description":"Get details of a specific AWS resource."},{"name":"get_resource_request_status","description":"Get the status of a long running operation with the request token."},{"name":"get_resource_schema_information","description":"Get schema information for an AWS resource.\n\nParameters:\n resource_type: The AWS resource type (e.g., \"AWS::S3::Bucket\")\n\nReturns:\n The resource schema information"},{"name":"list_resources","description":"List AWS resources of a specified type.\n\nParameters:\n resource_type: The AWS resource type (e.g., \"AWS::S3::Bucket\", \"AWS::RDS::DBInstance\")\n region: AWS region to use (e.g., \"us-east-1\", \"us-west-2\")\n\n\nReturns:\n A dictionary containing:\n {\n \"resources\": List of resource identifiers\n }"},{"name":"run_checkov","description":"Run Checkov security and compliance scanner on server-stored CloudFormation template.\n\nSECURITY: This tool only scans CloudFormation templates stored server-side from generate_infrastructure_code().\nAI agents cannot provide different content to bypass security scanning.\n\nCRITICAL WORKFLOW REQUIREMENTS:\nALWAYS after running this tool:\n1. Call explain() to show the security scan results to the user (both passed and failed checks)\n\nIf scan_status='FAILED' (security issues found):\n2. 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The template generation process is\nasynchronous, so you can check the status of the process and retrieve the template\nonce it's complete. You can pass up to 500 resources at a time.\n\nExamples:\n1. Start template generation for an S3 bucket:\n create_template(\n template_name=\"my-template\",\n resources=[{\"ResourceType\": \"AWS::S3::Bucket\", \"ResourceIdentifier\": {\"BucketName\": \"my-bucket\"}}],\n deletion_policy=\"RETAIN\",\n update_replace_policy=\"RETAIN\"\n )\n\n2. Check status of template generation:\n create_template(template_id=\"arn:aws:cloudformation:us-east-1:123456789012:generatedtemplate\/abcdef12-3456-7890-abcd-ef1234567890\")\n\n3. Retrieve and save generated template:\n create_template(\n template_id=\"arn:aws:cloudformation:us-east-1:123456789"},{"name":"delete_resource","description":"Delete an AWS resource.\n\nParameters:\n resource_type: The AWS resource type (e.g., \"AWS::S3::Bucket\")\n identifier: The primary identifier of the resource to delete (e.g., bucket name for S3 buckets)\n region: AWS region to use (e.g., \"us-east-1\", \"us-west-2\")\n\nReturns:\n Information about the deletion operation with a consistent structure:\n {\n \"status\": Status of the operation (\"SUCCESS\", \"PENDING\", \"FAILED\", \"NOT_FOUND\", etc.)\n \"resource_type\": The AWS resource type\n \"identifier\": The resource identifier\n \"is_complete\": Boolean indicating whether the operation is complete\n \"status_message\": Human-readable message describing the result\n \"request_token\": A token that allows you to track long running operations via the get_resource_request_status tool\n }"},{"name":"get_resource","description":"Get details of a specific AWS resource.\n\nParameters:\n resource_type: The AWS resource type (e.g., \"AWS::S3::Bucket\")\n identifier: The primary identifier of the resource to get (e.g., bucket name for S3 buckets)\n region: AWS region to use (e.g., \"us-east-1\", \"us-west-2\")\n\nReturns:\n Detailed information about the specified resource with a consistent structure:\n {\n \"identifier\": The resource identifier,\n \"properties\": The detailed information about the resource\n }"},{"name":"get_resource_request_status","description":"Get the status of a long running operation with the request token."},{"name":"get_resource_schema_information","description":"Get schema information for an AWS resource.\n\nParameters:\n resource_type: The AWS resource type (e.g., \"AWS::S3::Bucket\")\n\nReturns:\n The resource schema information"},{"name":"list_resources","description":"List AWS resources of a specified type.\n\nParameters:\n resource_type: The AWS resource type (e.g., \"AWS::S3::Bucket\", \"AWS::RDS::DBInstance\")\n region: AWS region to use (e.g., \"us-east-1\", \"us-west-2\")\n\nReturns:\n A list of resource identifiers"},{"name":"update_resource","description":"Update an AWS resource.\n\nParameters:\n resource_type: The AWS resource type (e.g., \"AWS::S3::Bucket\")\n identifier: The primary identifier of the resource to update\n patch_document: A list of RFC 6902 JSON Patch operations to apply\n region: AWS region to use (e.g., \"us-east-1\", \"us-west-2\")\n\nReturns:\n Information about the updated resource with a consistent structure:\n {\n \"status\": Status of the operation (\"SUCCESS\", \"PENDING\", \"FAILED\", etc.)\n \"resource_type\": The AWS resource type\n \"identifier\": The resource identifier\n \"is_complete\": Boolean indicating whether the operation is complete\n \"status_message\": Human-readable message describing the result\n \"request_token\": A token that allows you to track long running operations via the get_resource_request_status tool\n \"resource_info\": Optional information about the resource properties\n }"}],"tools_count":8,"secrets":[{"name":"awslabs-cfn.aws_secret_access_key","env":"AWS_SECRET_ACCESS_KEY","description":"","example":"your-aws-secret-access-key"},{"name":"awslabs-cfn.aws_session_token","env":"AWS_SESSION_TOKEN","description":"","example":"your-aws-session-token"}],"env":[{"name":"AWS_REGION","value":"{{awslabs-cfn.aws_region}}"},{"name":"AWS_PROFILE","value":"{{awslabs-cfn.aws_profile}}"},{"name":"AWS_ACCESS_KEY_ID","value":"{{awslabs-cfn.aws_access_key_id}}"}],"config_schema":[{"name":"awslabs-cfn","description":"Configure AWS credentials for CloudFormation 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The template generation process is\nasynchronous, so you can check the status of the process and retrieve the template\nonce it's complete. You can pass up to 500 resources at a time.\n\nExamples:\n1. Start template generation for an S3 bucket:\n create_template(\n template_nam"},{"name":"delete_resource","description":"Delete an AWS resource.\n\nParameters:\n resource_type: The AWS resource type (e.g., \"AWS::S3::Bucket\")\n identifier: The primary identifier of the resource to delete (e.g., bucket name for S3 buckets)\n region: AWS region to use (e.g., \"us-east-1\", \"us-west-2\")\n\nReturns:\n Information about the deletion operation with a consistent structure:\n {\n \"status\": Status of the operation (\"SUCCESS\", \"PENDING\", \"FAILED\", \"NOT_FOUND\", etc.)\n \"resource_type\": The AWS resource type\n "},{"name":"get_resource","description":"Get details of a specific AWS resource.\n\nParameters:\n resource_type: The AWS resource type (e.g., \"AWS::S3::Bucket\")\n identifier: The primary identifier of the resource to get (e.g., bucket name for S3 buckets)\n region: AWS region to use (e.g., \"us-east-1\", \"us-west-2\")\n\nReturns:\n Detailed information about the specified resource with a consistent structure:\n {\n \"identifier\": The resource identifier,\n \"properties\": The detailed information about the resource\n }"},{"name":"get_resource_request_status","description":"Get the status of a long running operation with the request token."},{"name":"get_resource_schema_information","description":"Get schema information for an AWS resource.\n\nParameters:\n resource_type: The AWS resource type (e.g., \"AWS::S3::Bucket\")\n\nReturns:\n The resource schema information"},{"name":"list_resources","description":"List AWS resources of a specified type.\n\nParameters:\n resource_type: The AWS resource type (e.g., \"AWS::S3::Bucket\", \"AWS::RDS::DBInstance\")\n region: AWS region to use (e.g., \"us-east-1\", \"us-west-2\")\n\nReturns:\n A list of resource identifiers"},{"name":"update_resource","description":"Update an AWS resource.\n\nParameters:\n resource_type: The AWS resource type (e.g., \"AWS::S3::Bucket\")\n identifier: The primary identifier of the 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"}],"config":[{"name":"awslabs-cfn.aws_secret_access_key","description":"","type":"string","secret":true,"required":true},{"name":"awslabs-cfn.aws_session_token","description":"","type":"string","secret":true,"required":true},{"name":"awslabs-cfn.aws_region","description":"","type":"string","secret":false,"required":true},{"name":"awslabs-cfn.aws_profile","description":"","type":"string","secret":false,"required":true},{"name":"awslabs-cfn.aws_access_key_id","description":"","type":"string","secret":false,"required":true}],"needs_setup":true,"network":true,"prepull":["mcp\/cfn-mcp-server@sha256:d1c0846eb6e507f298b7ff0e306a40d41fc92e373009676d774753c08a81c034"]}},"settings":[{"name":"awslabs-cfn.aws_region","description":"","type":"string","required":true,"example":"","default":""},{"name":"awslabs-cfn.aws_profile","description":"","type":"string","required":true,"example":"","default":""},{"name":"awslabs-cfn.aws_access_key_id","description":"","type":"string","required":true,"example":"","default":""}],"docs_url":"https:\/\/desktop.docker.com\/mcp\/catalog\/v3\/readme\/awslabs-cfn.md"},"source_kind":"docker-mcp-catalog","license":"Apache 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the results of a completed CloudTrail Lake query with pagination support.\n\nThis tool retrieves the results of a previously executed CloudTrail Lake query. It supports\npagination for large result sets, allowing you to fetch results in chunks.\n\nUsage: Use this tool to get the results of a query that has completed (status = 'FINISHED').\nFor large result sets, use the next_token to fetch subsequent pages of results.\n\nPagination workflow:\n1. Call get_query_results with just the query_id to get the first page\n2. If next_token is returned, call again with the same query_id and the next_token\n3. Repeat until next_token is null\/empty\n\nReturns:\n--------\nQueryResult containing:\n - query_id: The query identifier\n - query_status: Current status of the query\n - query_result_rows: Results for this page\n - next_token: Token for next page (null if no more pages)\n - query_statistics: Performance statistics for the query"},{"name":"get_query_status","description":"Get the status of a CloudTrail Lake query.\n\nThis tool checks the status of a previously started CloudTrail Lake query. 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Use wait_for_completion=False to get the query_id immediately, then use get_query_results with pagination\n2. Use wait_for_completion=True (default) to get first page of results, then use get_query_results with next_token for additional pages\n\nIMPORTANT LIMITATIONS:\n- CloudTrail Lake only supports SELECT statements using Trino-compatible SQL syntax\n- INSERT, UPDATE, DELETE, CREATE, DROP, and other DDL\/DML operations are not supported\n- Do not use Common Table Expression (CTE)\n- Your SQL query MUST include a valid Event Data Store (EDS) ID in the FROM clause\n- Use the list_event_data_stores tool first to get available EDS IDs, "},{"name":"list_event_data_stores","description":"List available CloudTrail Lake Event Data Stores with their capabilities and event selectors.\n\nEvent Data Stores are the storage and query engines for CloudTrail Lake. 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Retrieve AWS cost and usage data.\n\nThis tool retrieves AWS cost and usage data for AWS services during a specified billing period,\nwith optional filtering and grouping. 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For meaningful UsageQuantity results, you MUST be very specific with filtering, including USAGE_TYPE or USAGE_TYPE_GROUP.\n\nExample: Get monthly costs for EC2 and S3 services in us-east-1 for May 2025"},{"name":"get_cost_and_usage_comparisons","description":"[DEPRECATED] Compare AWS costs and usage between two time periods.\n\nThis tool compares cost and usage data between a baseline period and a comparison period,\nproviding percentage changes and absolute differences. Both periods must be exactly one month\nand start\/end on the first day of a month. The tool also provides detailed cost drivers\nwhen available, showing what specific factors contributed to cost changes.\n\nImportant requirements:\n- Both periods must be exactly one month duration\n- Dates must start and end on the first day of a month (e.g., 2025-01-01 to 2025-02-01)\n- Maximum lookback of 13 months (38 months if multi-year data enabled)\n- Start dates must be equal to or no later than current date\n\nExample: Compare January 2025 vs December 2024 EC2 costs\n await get_cost_and_usage_comparisons(\n ctx=context,\n baseline_date_range={\n \"start_date\": \"2024-12-01\", # December 2024\n \"end_date\": \"2025-01-01\"\n },\n comparison_date_range={\n "},{"name":"get_cost_comparison_drivers","description":"[DEPRECATED] Analyze what drove cost changes between two time periods.\n\nThis tool provides detailed analysis of the TOP 10 most significant cost drivers\nthat caused changes between periods. AWS returns only the most impactful drivers\nto focus on the changes that matter most for cost optimization.\n\nThe tool provides rich insights including:\n- Top 10 most significant cost drivers across all services (or filtered subset)\n- Specific usage types that drove changes (e.g., \"BoxUsage:c5.large\", \"NatGateway-Hours\")\n- Multiple driver types: usage changes, savings plan impacts, enterprise discounts, support fees\n- Both cost and usage quantity changes with units (hours, GB-months, etc.)\n- Context about what infrastructure components changed\n- Detailed breakdown of usage patterns vs pricing changes\n\nCan be used with or without filters:\n- Without filters: Shows top 10 cost drivers across ALL services\n- With filters: Shows top 10 cost drivers within the filtered scope\n- Multiple services: Can filter "},{"name":"get_cost_forecast","description":"[DEPRECATED] Retrieve AWS cost forecasts based on historical usage patterns.\n\nThis tool generates cost forecasts for future periods using AWS Cost Explorer's machine learning models.\nForecasts are based on your historical usage patterns and can help with budget planning and cost optimization.\n\nImportant granularity limits:\n- DAILY forecasts: Maximum 3 months into the future\n- MONTHLY forecasts: Maximum 12 months into the future\n\nNote: The forecast start date must be equal to or no later than the current date, while the end date\nmust be in the future. AWS automatically uses available historical data to generate forecasts.\nForecasts return total costs and cannot be grouped by dimensions like services or regions.\n\nExample: Get monthly cost forecast for EC2 services for next quarter\n await get_cost_forecast(\n ctx=context,\n date_range={\n \"start_date\": \"2025-06-19\", # Today or earlier\n \"end_date\": \"2025-09-30\" # Future date\n },\n granu"},{"name":"get_dimension_values","description":"[DEPRECATED] Retrieve available dimension values for AWS Cost Explorer.\n\nThis tool retrieves all available and valid values for a specified dimension (e.g., SERVICE, REGION)\nover a period of time. This is useful for validating filter values or exploring available options\nfor cost analysis."},{"name":"get_tag_values","description":"[DEPRECATED] Retrieve available tag values for AWS Cost Explorer.\n\nThis tool retrieves all available values for a specified tag key over a period of time.\nThis is useful for validating tag filter values or exploring available tag options for cost analysis."},{"name":"get_today_date","description":"[DEPRECATED] Retrieve current date information in UTC time zone.\n\nThis tool retrieves the current date in YYYY-MM-DD format and the current month in YYYY-MM format.\nIt's useful for calculating relevant dates when a user asks about the last N months\/days."}],"tools_count":7,"secrets":[{"name":"awslabs-cost-explorer.aws_secret_access_key","env":"AWS_SECRET_ACCESS_KEY","description":"","example":"your-aws-secret-access-key"},{"name":"awslabs-cost-explorer.aws_session_token","env":"AWS_SESSION_TOKEN","description":"","example":"your-aws-session-token"}],"env":[{"name":"AWS_REGION","value":"{{awslabs-cost-explorer.aws_region}}"},{"name":"AWS_PROFILE","value":"{{awslabs-cost-explorer.aws_profile}}"},{"name":"AWS_ACCESS_KEY_ID","value":"{{awslabs-cost-explorer.aws_access_key_id}}"}],"config_schema":[{"name":"awslabs-cost-explorer","description":"Configure AWS credentials for Cost Explorer access","type":"object","properties":{"aws_region":{"type":"string"},"aws_profile":{"type":"string"},"aws_access_key_id":{"type":"string"}}}],"oauth":[],"zero_config":false,"needs_setup":true,"tools_after_setup":false,"network":true,"network_source":"catalog","installable":true,"install_reason":"","server_name":"awslabs-cost-explorer","server_entry":{"command":"docker","args":["run","-i","--rm","--init","--security-opt","no-new-privileges","-e","AWS_ACCESS_KEY_ID","-e","AWS_PROFILE","-e","AWS_REGION","-e","AWS_SECRET_ACCESS_KEY","-e","AWS_SESSION_TOKEN","mcp\/cost-explorer-mcp-server@sha256:106471354a04dbfc70d44246b285ddc6c4f6d37510e92cdcb07b79f62d2793dd"],"env":{"AWS_ACCESS_KEY_ID":"{secret:awslabs-cost-explorer.aws_access_key_id}","AWS_PROFILE":"{secret:awslabs-cost-explorer.aws_profile}","AWS_REGION":"{secret:awslabs-cost-explorer.aws_region}","AWS_SECRET_ACCESS_KEY":"{secret:awslabs-cost-explorer.aws_secret_access_key}","AWS_SESSION_TOKEN":"{secret:awslabs-cost-explorer.aws_session_token}"},"x-labs":{"title":"AWS Cost Explorer","description":"Detailed cost analysis and reporting.","icon":"https:\/\/avatars.githubusercontent.com\/u\/3299148?v=4","timeout":30,"tools":[{"name":"get_cost_and_usage","description":"[DEPRECATED] Retrieve AWS cost and usage data.\n\nThis tool retrieves AWS cost and usage data for AWS services during a specified billing period,\nwith optional filtering and grouping. 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This is useful for validating filter values or exploring available options\nfor cost analysis."},{"name":"get_tag_values","description":"[DEPRECATED] Retrieve available tag values for AWS Cost Explorer.\n\nThis tool retrieves all available values for a specified tag key over a period of time.\nThis is useful for validating tag filter values or exploring available tag options for cost analysis."},{"name":"get_today_date","description":"[DEPRECATED] Retrieve current date information in UTC time zone.\n\nThis tool retrieves the current date in YYYY-MM-DD format and the current month in YYYY-MM format.\nIt's useful for calculating relevant dates when a user asks about the last N months\/days."}],"config":[{"name":"awslabs-cost-explorer.aws_secret_access_key","description":"","type":"string","secret":true,"required":true},{"name":"awslabs-cost-explorer.aws_session_token","description":"","type":"string","secret":true,"required":true},{"name":"awslabs-cost-explorer.aws_region","description":"","type":"string","secret":false,"required":true},{"name":"awslabs-cost-explorer.aws_profile","description":"","type":"string","secret":false,"required":true},{"name":"awslabs-cost-explorer.aws_access_key_id","description":"","type":"string","secret":false,"required":true}],"needs_setup":true,"network":true,"prepull":["mcp\/cost-explorer-mcp-server@sha256:106471354a04dbfc70d44246b285ddc6c4f6d37510e92cdcb07b79f62d2793dd"]}},"settings":[{"name":"awslabs-cost-explorer.aws_region","description":"","type":"string","required":true,"example":"","default":""},{"name":"awslabs-cost-explorer.aws_profile","description":"","type":"string","required":true,"example":"","default":""},{"name":"awslabs-cost-explorer.aws_access_key_id","description":"","type":"string","required":true,"example":"","default":""}],"docs_url":"https:\/\/desktop.docker.com\/mcp\/catalog\/v3\/readme\/awslabs-cost-explorer.md"},"source_kind":"docker-mcp-catalog","license":"Apache License 2.0","upstream":"https:\/\/github.com\/awslabs\/mcp","owner":"awslabs","tags":["aws"],"popularity":{"pulls":15337,"stars":0,"github_stars":9769},"readme_url":"https:\/\/desktop.docker.com\/mcp\/catalog\/v3\/readme\/awslabs-cost-explorer.md","date_added":"2025-11-06T18:02:41Z","packaged_by":"Docker"},{"slug":"mcp-aws-dataprocessing","name":"AWS Data Processing","description":"Data processing and transformation services.","category":"mcp","publisher":"docker","icon":"","icon_small":"","icon_url":"\/icon\/mcp-aws-dataprocessing?v=3390ba2af719.6314dc26","readme":true,"page_url":"https:\/\/store.selfmade.work\/app\/mcp-aws-dataprocessing","first_party":false,"publisher_verified":true,"updated_at":1791851259,"image":{"state":"built","ref":"mcp\/aws-dataprocessing-mcp-server@sha256:8dc85c2f47b469bb1044671c16e142d7897acc93fb134a0a08e96a0a3106dfc5","digest":"sha256:8dc85c2f47b469bb1044671c16e142d7897acc93fb134a0a08e96a0a3106dfc5"},"version":"3390ba2af71975fc96a79134ddb6e49154337a34","state":"listed","versions":[],"repo_url":"https:\/\/github.com\/awslabs\/mcp\/tree\/76ec6993aec4c6281e5250cbeba8db6a5863f2ff\/src\/aws-dataprocessing-mcp-server","requires":{"render":false,"driver":"sysbox","min_plan":null},"categories":["analytics","mcp-servers"],"categories_source":"derived","kind":"mcp","installs":0,"pull_count":31042,"tools_count":32,"known_publisher":false,"remote":false,"config_kind":"secrets","created_at":1762452161,"mcp":{"key":"aws-dataprocessing","type":"server","transport":"stdio","image":"mcp\/aws-dataprocessing-mcp-server","digest":"sha256:8dc85c2f47b469bb1044671c16e142d7897acc93fb134a0a08e96a0a3106dfc5","remote_url":"","tools":[{"name":"add_inline_policy","description":"Add a new inline policy to an IAM role.\n\nThis tool creates a new inline policy with the specified permissions and adds it to an IAM role.\nInline policies are embedded within the role and cannot be attached to multiple roles. Commonly used\nfor granting data processing services access to AWS resources, enabling Glue jobs to access data sources,\nand configuring permissions for CloudWatch logging and S3 access.\n\n## Requirements\n- The server must be run with the `--allow-write` flag\n- The role must exist in your AWS account\n- The policy name must be unique within the role\n- You cannot modify existing policies with this tool\n\n## Permission Format\nThe permissions parameter can be either a single policy statement or a list of statements.\n\n### Single Statement Example\n```json\n{\n \"Effect\": \"Allow\",\n \"Action\": [\"s3:GetObject\", \"s3:PutObject\"],\n \"Resource\": \"arn:aws:s3:::example-bucket\/*\"\n}\n```\n\n## Common Data Processing Permission Examples\n\n### Glue Job Permissions\n```json\n{\n \"Effect\""},{"name":"analyze_s3_usage_for_data_processing","description":"Analyze S3 bucket usage patterns for data processing services (Glue, EMR, Athena).\n\nThis tool helps identify which buckets are actively used by data processing services\nand which ones might be idle or underutilized."},{"name":"create_data_processing_role","description":"Create a new IAM role for data processing services.\n\nThis tool creates a new IAM role with the appropriate trust relationship for the specified\ndata processing service (Glue, EMR, or Athena). It can also attach managed policies and\nadd an inline policy to the role.\n\n## Requirements\n- The server must be run with the `--allow-write` flag\n- The role name must be unique within your AWS account\n- Valid AWS credentials with permissions to create IAM roles\n\n## Service Types\n- **glue**: Creates a role that can be assumed by the Glue service\n- **emr**: Creates a role that can be assumed by the EMR service\n- **athena**: Creates a role that can be assumed by the Athena service\n\n## Common Managed Policies. add these policies\n- Glue: 'arn:aws:iam::aws:policy\/service-role\/AWSGlueServiceRole'\n- EMR: 'arn:aws:iam::aws:policy\/service-role\/AmazonElasticMapReduceRole'\n- Athena: 'arn:aws:iam::aws:policy\/service-role\/AmazonAthenaFullAccess'\n\n## Usage Tips\n- Always provide a descriptive name and description"},{"name":"get_policies_for_role","description":"Get all policies attached to an IAM role.\n\nThis tool retrieves all policies associated with an IAM role, providing a comprehensive view\nof the role's permissions and trust relationships. It helps you understand the current\npermissions, identify missing or excessive permissions, troubleshoot data processing issues,\nand verify trust relationships for service roles.\n\n## Requirements\n- The role must exist in your AWS account\n- Valid AWS credentials with permissions to read IAM role information\n\n## Response Information\nThe response includes role ARN, assume role policy document (trust relationships),\nrole description, managed policies with their documents, and inline policies with\ntheir documents.\n\n## Usage Tips\n- Use this tool before adding new permissions to understand existing access\n- Check the assume role policy to verify which services or roles can assume this role\n- Look for overly permissive policies that might pose security risks\n- Use with add_inline_policy to implement least-priv"},{"name":"get_roles_for_service","description":"Get all IAM roles that can be assumed by a specific AWS service.\n\nThis tool retrieves all IAM roles in your AWS account that have a trust relationship\nwith the specified service. It helps you identify which roles can be used for services\nlike Glue jobs, EMR clusters, or Athena queries, making it easier to select the appropriate\nrole when creating these resources.\n\n## Service Types\nCommon service types include:\n- **glue**: AWS Glue service (glue.amazonaws.com)\n- **emr**: Amazon EMR service (elasticmapreduce.amazonaws.com)\n- **athena**: Amazon Athena service (athena.amazonaws.com)\n- You can also specify other AWS service principals\n\n## Response Information\nThe response includes a list of roles that can be assumed by the specified service,\nwith details such as role name, ARN, description, creation date, and the full\nassume role policy document.\n\n## Usage Tips\n- Use this tool to find existing roles before creating new ones\n- Verify that roles have the necessary permissions for your use cas"},{"name":"list_s3_buckets","description":"List S3 buckets that have 'glue' in their name and are in the specified region.\n\nThis tool helps identify S3 buckets commonly used for data processing workflows,\nparticularly those related to AWS Glue operations. It provides usage statistics\nand idle time information to help with resource management.\n\n## Requirements\n- Valid AWS credentials with permissions to list S3 buckets\n- S3:ListAllMyBuckets permission\n\n## Response Information\nThe response includes bucket name, creation date, region, object count,\nlast modified date, and idle time analysis.\n\n## Usage Tips\n- Use this tool to find existing data processing buckets before creating new ones\n- Monitor idle buckets that haven't been accessed for 90+ days\n- Verify bucket regions match your data processing service regions\n- Check object counts to understand bucket usage patterns"},{"name":"manage_aws_athena_data_catalogs","description":"Manage AWS Athena data catalogs with both read and write operations.\n\nThis tool provides operations for managing Athena data catalogs, including creating,\nretrieving, listing, updating, and deleting data catalogs. Data catalogs are used to\norganize and access data sources in Athena, enabling you to query data across various\nsources like AWS Glue Data Catalog, Apache Hive metastores, or federated sources.\n\n## Requirements\n- The server must be run with the `--allow-write` flag for create-data-catalog, delete-data-catalog, and update-data-catalog operations\n- Appropriate AWS permissions for Athena data catalog operations\n\n## Operations\n- **create-data-catalog**: Create a new data catalog\n- **delete-data-catalog**: Delete an existing data catalog\n- **get-data-catalog**: Get information about a single data catalog\n- **list-data-catalogs**: List all data catalogs\n- **update-data-catalog**: Update an existing data catalog\n\n## Usage Tips\n- Use list-data-catalogs to find available data catalogs"},{"name":"manage_aws_athena_databases_and_tables","description":"Manage AWS Athena databases and tables with read operations.\n\nThis tool provides operations for retrieving information about databases and tables\nin Athena data catalogs. These are read-only operations that do not modify any resources.\n\n## Requirements\n- Appropriate AWS permissions for Athena database and table operations\n\n## Operations\n- **get-database**: Get information about a single database\n- **get-table-metadata**: Get metadata for a specific table\n- **list-databases**: List all databases in a data catalog\n- **list-table-metadata**: List metadata for all tables in a database\n\n## Usage Tips\n- Use list-databases to find available databases in a data catalog\n- Use list-table-metadata to find available tables in a database\n- The expression parameter for list-table-metadata supports filtering tables by name pattern\n\n## Example\n```\n# List all databases in a catalog\n{'operation': 'list-databases', 'catalog_name': 'AwsDataCatalog', 'max_results': 10}\n\n# Get metadata for a specific table\n"},{"name":"manage_aws_athena_named_queries","description":"Manage saved SQL queries in AWS Athena.\n\nThis tool provides operations for creating, retrieving, updating, and deleting named queries\nin AWS Athena. Named queries are saved SQL statements that can be easily reused, shared with\nteam members, and executed without having to rewrite complex queries.\n\n## Requirements\n- The server must be run with the `--allow-write` flag for create-named-query, delete-named-query, and update-named-query operations\n- Appropriate AWS permissions for Athena named query operations\n\n## Operations\n- **batch-get-named-query**: Get details for up to 50 named queries by their IDs\n- **create-named-query**: Save a new SQL query with a name and description\n- **delete-named-query**: Remove a saved query\n- **get-named-query**: Retrieve a single named query by ID\n- **list-named-queries**: List available named query IDs\n- **update-named-query**: Modify an existing named query\n\n## Example\n```python\n# Create a named query\ncreate_response = await manage_aws_athena_named_queri"},{"name":"manage_aws_athena_query_executions","description":"Execute and manage AWS Athena SQL queries.\n\nThis tool provides comprehensive operations for AWS Athena query management, including\nstarting new queries, monitoring execution status, retrieving results, and analyzing\nperformance statistics.\n\n## Requirements\n- The server must be run with the `--allow-write` flag if start-query-execution contains any write operation for example DDL commands, Insert, Update, Delete Commands or any flag updates\n- Appropriate AWS permissions for Athena query operations\n\n## Operations\n- **batch-get-query-execution**: Get details for up to 50 query executions by their IDs\n- **get-query-execution**: Get complete information about a single query execution\n- **get-query-results**: Retrieve the results of a completed query\n- **get-query-runtime-statistics**: Get performance statistics for a query execution\n- **list-query-executions**: List available query execution IDs (up to 50)\n- **start-query-execution**: Execute a new SQL query\n- **stop-query-execution**: Canc"},{"name":"manage_aws_athena_workgroups","description":"Manage AWS Athena workgroups with both read and write operations.\n\nThis tool provides operations for managing Athena workgroups, including creating,\nretrieving, listing, updating, and deleting workgroups. Workgroups allow you to\nisolate queries for different user groups and control query execution settings.\n\n## Requirements\n- The server must be run with the `--allow-write` flag for create-work-group, delete-work-group, and update-work-group operations\n- Appropriate AWS permissions for Athena workgroup operations\n\n## Operations\n- **create-work-group**: Create a new workgroup\n- **delete-work-group**: Delete an existing workgroup\n- **get-work-group**: Get information about a single workgroup\n- **list-work-groups**: List all workgroups\n- **update-work-group**: Update an existing workgroup\n\n## Usage Tips\n- Use workgroups to isolate different user groups and control costs\n- Configure workgroup settings to enforce query limits and output locations\n- Use tags to organize and track workgroups"},{"name":"manage_aws_emr_clusters","description":"Manage AWS EMR EC2 clusters with comprehensive control over cluster lifecycle.\n\nThis tool provides operations for managing Amazon EMR clusters running on EC2 instances,\nincluding creating, configuring, monitoring, modifying, and terminating clusters. It also\nsupports security configuration management for EMR clusters.\n\n## Requirements\n- The server must be run with the `--allow-write` flag for create-cluster, modify-cluster,\n modify-cluster-attributes, terminate-clusters, create-security-configuration, and\n delete-security-configuration operations\n- Appropriate AWS permissions for EMR cluster operations\n\n## Operations\n- **create-cluster**: Create a new EMR cluster with specified configurations\n- **describe-cluster**: Get detailed information about a specific EMR cluster\n- **modify-cluster**: Modify the step concurrency level of a running cluster\n- **modify-cluster-attributes**: Modify auto-termination and termination protection settings\n- **terminate-clusters**: Terminate one or more "},{"name":"manage_aws_emr_ec2_instances","description":"Manage AWS EMR EC2 instances with both read and write operations.\n\nThis tool provides comprehensive operations for managing Amazon EMR EC2 instances,\nincluding adding and modifying instance fleets and groups, as well as listing\ninstance details. It enables scaling cluster capacity, configuring instance\nspecifications, and monitoring instance status.\n\n## Requirements\n- The server must be run with the `--allow-write` flag for add-instance-fleet, add-instance-groups,\n modify-instance-fleet, and modify-instance-groups operations\n- Appropriate AWS permissions for EMR instance operations\n\n## Operations\n- **add-instance-fleet**: Add an instance fleet to an existing EMR cluster\n - Required: cluster_id, instance_fleet (with InstanceFleetType)\n - Returns: cluster_id, instance_fleet_id, cluster_arn\n\n- **add-instance-groups**: Add instance groups to an existing EMR cluster\n - Required: cluster_id, instance_groups (each with InstanceRole, InstanceType, InstanceCount)\n - Returns: cluster_id (as"},{"name":"manage_aws_emr_ec2_steps","description":"Manage AWS EMR EC2 steps for processing data on EMR clusters.\n\nThis tool provides comprehensive operations for managing EMR steps, which are units of work\nsubmitted to an EMR cluster for execution. Steps typically consist of Hadoop or Spark jobs\nthat process and analyze data.\n\n## Requirements\n- The server must be run with the `--allow-write` flag for add-steps and cancel-steps operations\n- Appropriate AWS permissions for EMR step operations\n\n## Operations\n- **add-steps**: Add new steps to a running EMR cluster (max 256 steps per job flow)\n- **cancel-steps**: Cancel pending or running steps on an EMR cluster (EMR 4.8.0+ except 5.0.0)\n- **describe-step**: Get detailed information about a specific step's configuration and status\n- **list-steps**: List and filter steps for an EMR cluster with pagination support\n\n## Usage Tips\n- Each step consists of a JAR file, its main class, and arguments\n- Steps are executed in the order listed and must exit with zero code to be considered complete\n- Fo"},{"name":"manage_aws_glue_catalog","description":"Manage AWS Glue Data Catalog with both read and write operations.\n\nThis tool provides operations for managing the Glue Data Catalog itself,\nincluding creating custom catalogs, importing from external sources,\nand managing catalog-level configurations.\n\n## Requirements\n- The server must be run with the `--allow-write` flag for create-catalog, delete-catalog, and import operations\n- Appropriate AWS permissions for Glue Data Catalog operations\n- For import operations, access to the external data source is required\n\n## Operations\n- **create-catalog**: Create a new data catalog\n- **delete-catalog**: Delete an existing data catalog\n- **get-catalog**: Retrieve detailed information about a specific catalog\n- **list-catalogs**: List all available catalogs\n- **import-catalog-to-glue**: Import metadata from external sources into Glue Data Catalog\n\n## Usage Tips\n- The default catalog ID is your AWS account ID\n- Custom catalogs allow for better organization and access control\n- Import operations ca"},{"name":"manage_aws_glue_classifiers","description":"Manage AWS Glue classifiers to determine data formats and schemas.\n\nThis tool provides operations for AWS Glue classifiers, which help determine the schema of your data.\nClassifiers analyze data samples to infer formats and structures, enabling accurate schema creation\nwhen crawlers process your data sources.\n\n## Requirements\n- The server must be run with the `--allow-write` flag for create, delete, and update operations\n- Appropriate AWS permissions for Glue classifier operations\n\n## Operations\n- **create-classifier**: Create a new custom classifier (CSV, JSON, XML, or GROK)\n- **delete-classifier**: Remove an existing classifier\n- **get-classifier**: Retrieve detailed information about a specific classifier\n- **get-classifiers**: List all available classifiers\n- **update-classifier**: Modify an existing classifier's configuration\n\n## Example\n```python\n# Create a CSV classifier\n{\n 'operation': 'create-classifier',\n 'classifier_definition': {\n 'CsvClassifier': {\n "},{"name":"manage_aws_glue_connections","description":"Manage AWS Glue Data Catalog connections with both read and write operations.\n\nConnections in AWS Glue store connection information for data stores,\nsuch as databases, data warehouses, and other data sources. They contain\nconnection properties like JDBC URLs, usernames, and other metadata needed\nto connect to external data sources.\n\n## Requirements\n- The server must be run with the `--allow-write` flag for create, update, and delete operations\n- Appropriate AWS permissions for Glue Data Catalog operations\n- Connection properties must be valid for the connection type\n\n## Operations\n- **create-connection**: Create a new connection\n- **delete-connection**: Delete an existing connection\n- **get-connection**: Retrieve detailed information about a specific connection\n- **list-connections**: List all connections\n- **update-connection**: Update an existing connection's properties\n\n## Usage Tips\n- Connection names must be unique within your catalog\n- Connection input should include ConnectionTy"},{"name":"manage_aws_glue_crawler_management","description":"Manage AWS Glue crawler schedules and monitor performance metrics.\n\nThis tool provides operations for controlling crawler schedules and retrieving performance metrics.\nUse it to automate crawler runs on a schedule and monitor crawler efficiency and status.\n\n## Requirements\n- The server must be run with the `--allow-write` flag for schedule management operations\n- Appropriate AWS permissions for Glue crawler operations\n\n## Operations\n- **get-crawler-metrics**: Retrieve performance statistics about crawlers\n- **start-crawler-schedule**: Activate a crawler's schedule\n- **stop-crawler-schedule**: Deactivate a crawler's schedule\n- **update-crawler-schedule**: Modify a crawler's schedule with a new cron expression\n\n## Example\n```python\n# Update a crawler's schedule to run daily at 2:30 AM UTC\n{\n 'operation': 'update-crawler-schedule',\n 'crawler_name': 'my-s3-data-crawler',\n 'schedule': 'cron(30 2 * * ? *)',\n}\n\n# Get metrics for specific crawlers\n{\n 'operation': 'get-crawler-metri"},{"name":"manage_aws_glue_crawlers","description":"Manage AWS Glue crawlers to discover and catalog data sources.\n\nThis tool provides comprehensive operations for AWS Glue crawlers, which automatically discover and catalog\ndata from various sources like S3, JDBC databases, DynamoDB, and more. Crawlers examine your data sources,\ndetermine schemas, and register metadata in the AWS Glue Data Catalog.\n\n## Requirements\n- The server must be run with the `--allow-write` flag for create, delete, start, stop, and update operations\n- Appropriate AWS permissions for Glue crawler operations\n\n## Operations\n- **create-crawler**: Create a new crawler with specified targets, role, and configuration\n- **delete-crawler**: Remove an existing crawler from AWS Glue\n- **get-crawler**: Retrieve detailed information about a specific crawler\n- **get-crawlers**: List all crawlers with pagination\n- **batch-get-crawlers**: Retrieve multiple specific crawlers in a single call\n- **list-crawlers**: List all crawlers with tag-based filtering\n- **start-crawler**: Init"},{"name":"manage_aws_glue_databases","description":"Manage AWS Glue Data Catalog databases with both read and write operations.\n\nThis tool provides operations for managing Glue Data Catalog databases, including creating,\nupdating, retrieving, listing, and deleting databases. It serves as the primary mechanism\nfor database management within the AWS Glue Data Catalog.\n\n## Requirements\n- The server must be run with the `--allow-write` flag for create-database, update-database, and delete-database operations\n- Appropriate AWS permissions for Glue Data Catalog operations\n\n## Operations\n- **create-database**: Create a new database in the Glue Data Catalog\n- **delete-database**: Delete an existing database from the Glue Data Catalog\n- **get-database**: Retrieve detailed information about a specific database\n- **list-databases**: List all databases in the Glue Data Catalog\n- **update-database**: Update an existing database's properties\n\n## Usage Tips\n- Use the get-database or list-databases operations first to check existing databases\n- Databas"},{"name":"manage_aws_glue_encryption","description":"Manage AWS Glue Data Catalog Encryption Settings for data protection.\n\nThis tool allows you to retrieve and update AWS Glue Data Catalog Encryption Settings, which control\nhow metadata and connection passwords are encrypted in the Data Catalog.\n\n## Requirements\n- The server must be run with the `--allow-write` flag for put-catalog-encryption-settings operation\n- Appropriate AWS permissions for Glue Data Catalog Encryption operations\n\n## Operations\n- **get-catalog-encryption-settings**: Retrieve the current encryption settings for the Data Catalog\n- **put-catalog-encryption-settings**: Update the encryption settings for the Data Catalog\n\n## Example\n```json\n{\n \"operation\": \"put-catalog-encryption-settings\",\n \"encryption_at_rest\": {\n \"CatalogEncryptionMode\": \"SSE-KMS\",\n \"SseAwsKmsKeyId\": \"arn:aws:kms:region:account-id:key\/key-id\"\n },\n \"connection_password_encryption\": {\n \"ReturnConnectionPasswordEncrypted\": true,\n \"AwsKmsKeyId\": \"arn:aws:kms:region:account-id:key\/key-id\"\n "},{"name":"manage_aws_glue_jobs","description":"Manage AWS Glue ETL jobs and job runs with both read and write operations.\n\nThis tool provides comprehensive operations for managing AWS Glue ETL jobs and job runs,\nincluding creating, updating, retrieving, listing, starting, stopping, and monitoring jobs.\n\n## Requirements\n- The server must be run with the `--allow-write` flag for create-job, delete-job, update-job, start-job-run, stop-job-run, and batch-stop-job-run operations\n- Appropriate AWS permissions for Glue ETL job operations\n\n## Job Operations\n- **create-job**: Create a new ETL job in AWS Glue\n- **delete-job**: Delete an existing ETL job from AWS Glue\n- **get-job**: Retrieve detailed information about a specific job\n- **get-jobs**: List all jobs in your AWS Glue account\n- **update-job**: Update an existing job's properties\n- **start-job-run**: Start a job run using a job name\n\n## Job Run Operations\n- **stop-job-run**: Stop a job run using a job name and run ID\n- **get-job-run**: Retrieve detailed information about a specific "},{"name":"manage_aws_glue_partitions","description":"Manage AWS Glue Data Catalog partitions with both read and write operations.\n\nPartitions in AWS Glue represent a way to organize table data based on the values\nof one or more columns. They enable efficient querying and processing of large datasets\nby allowing queries to target specific subsets of data.\n\n## Requirements\n- The server must be run with the `--allow-write` flag for create-partition, update-partition, and delete-partition operations\n- Database and table must exist before creating partitions\n- Partition values must match the partition schema defined in the table\n\n## Operations\n- **create-partition**: Create a new partition in the specified table\n- **delete-partition**: Delete an existing partition from the table\n- **get-partition**: Retrieve detailed information about a specific partition\n- **list-partitions**: List all partitions in the specified table\n- **update-partition**: Update an existing partition's properties\n\n## Usage Tips\n- Partition values must be provided in the "},{"name":"manage_aws_glue_resource_policies","description":"Manage AWS Glue Resource Policies for access control.\n\nThis tool allows you to retrieve, create, update, and delete AWS Glue Resource Policies, which\ncontrol access to Glue resources through IAM policy documents.\n\n## Requirements\n- The server must be run with the `--allow-write` flag for put-resource-policy and delete-resource-policy operations\n- Appropriate AWS permissions for Glue Resource Policy operations\n\n## Operations\n- **get-resource-policy**: Retrieve the current resource policy\n- **put-resource-policy**: Create or update the resource policy\n- **delete-resource-policy**: Delete the resource policy\n\n## Example\n```json\n{\n \"operation\": \"put-resource-policy\",\n \"policy\": \"{\\\"Version\\\":\\\"2012-10-17\\\",\\\"Statement\\\":[{\\\"Effect\\\":\\\"Allow\\\",\\\"Principal\\\":{\\\"AWS\\\":\\\"arn:aws:iam::123456789\u2026\n \"policy_exists_condition\": \"NOT_EXIST\",\n \"enable_hybrid\": true\n}\n```"},{"name":"manage_aws_glue_security_configurations","description":"Manage AWS Glue Security Configurations for data encryption.\n\nThis tool allows you to create, retrieve, and delete AWS Glue Security Configurations, which define\nencryption settings for Glue jobs, crawlers, and development endpoints.\n\n## Requirements\n- The server must be run with the `--allow-write` flag for create-security-configuration and delete-security-configuration operations\n- Appropriate AWS permissions for Glue Security Configuration operations\n\n## Operations\n- **create-security-configuration**: Create a new security configuration with encryption settings\n- **delete-security-configuration**: Delete an existing security configuration\n- **get-security-configuration**: Retrieve detailed information about a specific security configuration\n\n## Example\n```json\n{\n \"operation\": \"create-security-configuration\",\n \"config_name\": \"my-encryption-config\",\n \"encryption_configuration\": {\n \"S3Encryption\": [\n {\n \"S3EncryptionMode\": \"SSE-KMS\",\n \"KmsKeyArn\": \"arn:aws:kms:"},{"name":"manage_aws_glue_sessions","description":"Manage AWS Glue Interactive Sessions for running Spark and Ray workloads.\n\nThis tool provides operations for creating and managing Glue Interactive Sessions, which\nenable interactive development and execution of Spark ETL scripts and Ray applications.\nInteractive sessions provide a responsive environment for data exploration, debugging,\nand iterative development.\n\n## Requirements\n- The server must be run with the `--allow-write` flag for create-session, delete-session, and stop-session operations\n- Appropriate AWS permissions for Glue Interactive Session operations\n\n## Operations\n- **create-session**: Create a new interactive session with specified configuration\n- **delete-session**: Delete an existing interactive session\n- **get-session**: Retrieve detailed information about a specific session\n- **list-sessions**: List all interactive sessions with optional filtering\n- **stop-session**: Stop a running interactive session\n\n## Example\n```python\n# Create a new Spark ETL session\n{\n 'op"},{"name":"manage_aws_glue_statements","description":"Manage AWS Glue Interactive Session Statements for executing code and retrieving results.\n\nThis tool provides operations for executing code, canceling running statements, and retrieving\nresults within Glue Interactive Sessions. It enables interactive data processing, exploration,\nand analysis using Spark or Ray in AWS Glue.\n\n## Requirements\n- The server must be run with the `--allow-write` flag for run-statement and cancel-statement operations\n- Appropriate AWS permissions for Glue Interactive Session Statement operations\n- A valid session ID is required for all operations\n\n## Operations\n- **run-statement**: Execute code in an interactive session and get a statement ID\n- **cancel-statement**: Cancel a running statement by ID\n- **get-statement**: Retrieve detailed information and results of a specific statement\n- **list-statements**: List all statements in a session with their status\n\n## Example\n```python\n# Run a PySpark statement in a session\n{\n 'operation': 'run-statement',\n 'se"},{"name":"manage_aws_glue_tables","description":"Manage AWS Glue Data Catalog tables with both read and write operations.\n\nThis tool provides comprehensive operations for managing Glue Data Catalog tables,\nincluding creating, updating, retrieving, listing, searching, and deleting tables.\nTables define the schema and metadata for data stored in various formats and locations.\n\n## Requirements\n- The server must be run with the `--allow-write` flag for create-table, update-table, and delete-table operations\n- Database must exist before creating tables within it\n- Appropriate AWS permissions for Glue Data Catalog operations\n\n## Operations\n- **create-table**: Create a new table in the specified database\n- **delete-table**: Delete an existing table from the database\n- **get-table**: Retrieve detailed information about a specific table\n- **list-tables**: List all tables in the specified database\n- **update-table**: Update an existing table's properties\n- **search-tables**: Search for tables using text matching\n\n## Usage Tips\n- Table names mu"},{"name":"manage_aws_glue_triggers","description":"Manage AWS Glue triggers to automate workflow and job execution.\n\nThis tool allows you to create, delete, retrieve, list, start, and stop AWS Glue triggers.\nTriggers define the conditions that automatically start jobs or workflows, enabling\nscheduled or event-based execution of your ETL processes.\n\n## Requirements\n- The server must be run with the `--allow-write` flag for create-trigger, delete-trigger, start-trigger, and stop-trigger operations\n- Appropriate AWS permissions for Glue trigger operations\n\n## Operations\n- **create-trigger**: Create a new trigger with specified type (SCHEDULED, CONDITIONAL, ON_DEMAND, EVENT) and actions\n- **delete-trigger**: Delete an existing trigger by name\n- **get-trigger**: Retrieve detailed information about a specific trigger\n- **get-triggers**: List all triggers with pagination support\n- **start-trigger**: Activate a trigger to begin monitoring for its firing conditions\n- **stop-trigger**: Deactivate a trigger to pause its monitoring\n\n## Trigger Typ"},{"name":"manage_aws_glue_usage_profiles","description":"Manage AWS Glue Usage Profiles for resource allocation and cost management.\n\nThis tool allows you to create, retrieve, update, and delete AWS Glue Usage Profiles, which define\nresource allocation and cost management settings for Glue jobs and interactive sessions.\n\n## Requirements\n- The server must be run with the `--allow-write` flag for create-profile, delete-profile, and update-profile operations\n- Appropriate AWS permissions for Glue Usage Profile operations\n\n## Operations\n- **create-profile**: Create a new usage profile with specified resource allocations\n- **delete-profile**: Delete an existing usage profile\n- **get-profile**: Retrieve detailed information about a specific usage profile\n- **update-profile**: Update an existing usage profile's configuration\n\n## Example\n```json\n{\n \"operation\": \"create-profile\",\n \"profile_name\": \"my-standard-profile\",\n \"description\": \"Standard resource allocation for ETL jobs\",\n \"configuration\": {\n \"JobConfiguration\": {\n \"numberOfWor"},{"name":"manage_aws_glue_workflows","description":"Manage AWS Glue workflows to orchestrate complex ETL activities.\n\nThis tool allows you to create, delete, retrieve, list, and start AWS Glue workflows.\nWorkflows help you design and visualize complex ETL activities as a series of dependent\njobs and crawlers, making it easier to manage and monitor your data processing pipelines.\n\n## Requirements\n- The server must be run with the `--allow-write` flag for create-workflow, delete-workflow, and start-workflow-run operations\n- Appropriate AWS permissions for Glue workflow operations\n\n## Operations\n- **create-workflow**: Create a new workflow with optional description, default run properties, tags, and max concurrent runs\n- **delete-workflow**: Delete an existing workflow by name\n- **get-workflow**: Retrieve detailed information about a specific workflow with optional graph inclusion\n- **list-workflows**: List all workflows with pagination support\n- **start-workflow-run**: Start a workflow run with optional run properties\n\n## Example\n```pytho"},{"name":"upload_to_s3","description":"Upload Python code content directly to an S3 bucket using putObject.\n\nThis tool uploads Python code content directly to an S3 bucket, commonly used\nfor storing Glue job scripts, EMR step scripts, or other data processing code.\nThe uploaded file can be referenced by data processing services.\n\n## Requirements\n- The server must be run with the `--allow-write` flag\n- Valid AWS credentials with permissions to write to the specified S3 bucket\n- The bucket must exist and be accessible\n\n## Usage Tips\n- Use descriptive S3 keys that include version information or timestamps\n- Store scripts in organized folder structures (e.g., glue-jobs\/, emr-steps\/)\n- Consider using versioning on the S3 bucket for script history\n- The returned S3 URI can be used directly in Glue job configurations"}],"tools_count":32,"secrets":[],"env":[{"name":"AWS_REGION","value":"{{aws-dataprocessing.aws_region}}"},{"name":"AWS_PROFILE","value":"{{aws-dataprocessing.aws_profile}}"}],"config_schema":[{"name":"aws-dataprocessing","description":"Configure AWS credentials for data processing access","type":"object","properties":{"aws_region":{"type":"string"},"aws_profile":{"type":"string"}}}],"oauth":[],"zero_config":false,"needs_setup":true,"tools_after_setup":false,"network":true,"network_source":"catalog","installable":true,"install_reason":"","server_name":"aws-dataprocessing","server_entry":{"command":"docker","args":["run","-i","--rm","--init","--security-opt","no-new-privileges","-e","AWS_PROFILE","-e","AWS_REGION","mcp\/aws-dataprocessing-mcp-server@sha256:8dc85c2f47b469bb1044671c16e142d7897acc93fb134a0a08e96a0a3106dfc5"],"env":{"AWS_PROFILE":"{secret:aws-dataprocessing.aws_profile}","AWS_REGION":"{secret:aws-dataprocessing.aws_region}"},"x-labs":{"title":"AWS Data Processing","description":"Data processing and transformation services.","icon":"https:\/\/avatars.githubusercontent.com\/u\/3299148?v=4","timeout":30,"tools":[{"name":"add_inline_policy","description":"Add a new inline policy to an IAM role.\n\nThis tool creates a new inline policy with the specified permissions and adds it to an IAM role.\nInline policies are embedded within the role and cannot be attached to multiple roles. Commonly used\nfor granting data processing services access to AWS resources, enabling Glue jobs to access data sources,\nand configuring permissions for CloudWatch logging and S3 access.\n\n## Requirements\n- The server must be run with the `--allow-write` flag\n- The role must e"},{"name":"analyze_s3_usage_for_data_processing","description":"Analyze S3 bucket usage patterns for data processing services (Glue, EMR, Athena).\n\nThis tool helps identify which buckets are actively used by data processing services\nand which ones might be idle or underutilized."},{"name":"create_data_processing_role","description":"Create a new IAM role for data processing services.\n\nThis tool creates a new IAM role with the appropriate trust relationship for the specified\ndata processing service (Glue, EMR, or Athena). It can also attach managed policies and\nadd an inline policy to the role.\n\n## Requirements\n- The server must be run with the `--allow-write` flag\n- The role name must be unique within your AWS account\n- Valid AWS credentials with permissions to create IAM roles\n\n## Service Types\n- **glue**: Creates a role t"},{"name":"get_policies_for_role","description":"Get all policies attached to an IAM role.\n\nThis tool retrieves all policies associated with an IAM role, providing a comprehensive view\nof the role's permissions and trust relationships. It helps you understand the current\npermissions, identify missing or excessive permissions, troubleshoot data processing issues,\nand verify trust relationships for service roles.\n\n## Requirements\n- The role must exist in your AWS account\n- Valid AWS credentials with permissions to read IAM role information\n\n## R"},{"name":"get_roles_for_service","description":"Get all IAM roles that can be assumed by a specific AWS service.\n\nThis tool retrieves all IAM roles in your AWS account that have a trust relationship\nwith the specified service. It helps you identify which roles can be used for services\nlike Glue jobs, EMR clusters, or Athena queries, making it easier to select the appropriate\nrole when creating these resources.\n\n## Service Types\nCommon service types include:\n- **glue**: AWS Glue service (glue.amazonaws.com)\n- **emr**: Amazon EMR service (elast"},{"name":"list_s3_buckets","description":"List S3 buckets that have 'glue' in their name and are in the specified region.\n\nThis tool helps identify S3 buckets commonly used for data processing workflows,\nparticularly those related to AWS Glue operations. It provides usage statistics\nand idle time information to help with resource management.\n\n## Requirements\n- Valid AWS credentials with permissions to list S3 buckets\n- S3:ListAllMyBuckets permission\n\n## Response Information\nThe response includes bucket name, creation date, region, objec"},{"name":"manage_aws_athena_data_catalogs","description":"Manage AWS Athena data catalogs with both read and write operations.\n\nThis tool provides operations for managing Athena data catalogs, including creating,\nretrieving, listing, updating, and deleting data catalogs. Data catalogs are used to\norganize and access data sources in Athena, enabling you to query data across various\nsources like AWS Glue Data Catalog, Apache Hive metastores, or federated sources.\n\n## Requirements\n- The server must be run with the `--allow-write` flag for create-data-cata"},{"name":"manage_aws_athena_databases_and_tables","description":"Manage AWS Athena databases and tables with read operations.\n\nThis tool provides operations for retrieving information about databases and tables\nin Athena data catalogs. These are read-only operations that do not modify any resources.\n\n## Requirements\n- Appropriate AWS permissions for Athena database and table operations\n\n## Operations\n- **get-database**: Get information about a single database\n- **get-table-metadata**: Get metadata for a specific table\n- **list-databases**: List all databases "},{"name":"manage_aws_athena_named_queries","description":"Manage saved SQL queries in AWS Athena.\n\nThis tool provides operations for creating, retrieving, updating, and deleting named queries\nin AWS Athena. Named queries are saved SQL statements that can be easily reused, shared with\nteam members, and executed without having to rewrite complex queries.\n\n## Requirements\n- The server must be run with the `--allow-write` flag for create-named-query, delete-named-query, and update-named-query operations\n- Appropriate AWS permissions for Athena named query "},{"name":"manage_aws_athena_query_executions","description":"Execute and manage AWS Athena SQL queries.\n\nThis tool provides comprehensive operations for AWS Athena query management, including\nstarting new queries, monitoring execution status, retrieving results, and analyzing\nperformance statistics.\n\n## Requirements\n- The server must be run with the `--allow-write` flag if start-query-execution contains any write operation for example DDL commands, Insert, Update, Delete Commands or any flag updates\n- Appropriate AWS permissions for Athena query operation"},{"name":"manage_aws_athena_workgroups","description":"Manage AWS Athena workgroups with both read and write operations.\n\nThis tool provides operations for managing Athena workgroups, including creating,\nretrieving, listing, updating, and deleting workgroups. Workgroups allow you to\nisolate queries for different user groups and control query execution settings.\n\n## Requirements\n- The server must be run with the `--allow-write` flag for create-work-group, delete-work-group, and update-work-group operations\n- Appropriate AWS permissions for Athena wor"},{"name":"manage_aws_emr_clusters","description":"Manage AWS EMR EC2 clusters with comprehensive control over cluster lifecycle.\n\nThis tool provides operations for managing Amazon EMR clusters running on EC2 instances,\nincluding creating, configuring, monitoring, modifying, and terminating clusters. It also\nsupports security configuration management for EMR clusters.\n\n## Requirements\n- The server must be run with the `--allow-write` flag for create-cluster, modify-cluster,\n modify-cluster-attributes, terminate-clusters, create-security-configu"},{"name":"manage_aws_emr_ec2_instances","description":"Manage AWS EMR EC2 instances with both read and write operations.\n\nThis tool provides comprehensive operations for managing Amazon EMR EC2 instances,\nincluding adding and modifying instance fleets and groups, as well as listing\ninstance details. It enables scaling cluster capacity, configuring instance\nspecifications, and monitoring instance status.\n\n## Requirements\n- The server must be run with the `--allow-write` flag for add-instance-fleet, add-instance-groups,\n modify-instance-fleet, and mo"},{"name":"manage_aws_emr_ec2_steps","description":"Manage AWS EMR EC2 steps for processing data on EMR clusters.\n\nThis tool provides comprehensive operations for managing EMR steps, which are units of work\nsubmitted to an EMR cluster for execution. Steps typically consist of Hadoop or Spark jobs\nthat process and analyze data.\n\n## Requirements\n- The server must be run with the `--allow-write` flag for add-steps and cancel-steps operations\n- Appropriate AWS permissions for EMR step operations\n\n## Operations\n- **add-steps**: Add new steps to a runn"},{"name":"manage_aws_glue_catalog","description":"Manage AWS Glue Data Catalog with both read and write operations.\n\nThis tool provides operations for managing the Glue Data Catalog itself,\nincluding creating custom catalogs, importing from external sources,\nand managing catalog-level configurations.\n\n## Requirements\n- The server must be run with the `--allow-write` flag for create-catalog, delete-catalog, and import operations\n- Appropriate AWS permissions for Glue Data Catalog operations\n- For import operations, access to the external data so"},{"name":"manage_aws_glue_classifiers","description":"Manage AWS Glue classifiers to determine data formats and schemas.\n\nThis tool provides operations for AWS Glue classifiers, which help determine the schema of your data.\nClassifiers analyze data samples to infer formats and structures, enabling accurate schema creation\nwhen crawlers process your data sources.\n\n## Requirements\n- The server must be run with the `--allow-write` flag for create, delete, and update operations\n- Appropriate AWS permissions for Glue classifier operations\n\n## Operations"},{"name":"manage_aws_glue_connections","description":"Manage AWS Glue Data Catalog connections with both read and write operations.\n\nConnections in AWS Glue store connection information for data stores,\nsuch as databases, data warehouses, and other data sources. They contain\nconnection properties like JDBC URLs, usernames, and other metadata needed\nto connect to external data sources.\n\n## Requirements\n- The server must be run with the `--allow-write` flag for create, update, and delete operations\n- Appropriate AWS permissions for Glue Data Catalog "},{"name":"manage_aws_glue_crawler_management","description":"Manage AWS Glue crawler schedules and monitor performance metrics.\n\nThis tool provides operations for controlling crawler schedules and retrieving performance metrics.\nUse it to automate crawler runs on a schedule and monitor crawler efficiency and status.\n\n## Requirements\n- The server must be run with the `--allow-write` flag for schedule management operations\n- Appropriate AWS permissions for Glue crawler operations\n\n## Operations\n- **get-crawler-metrics**: Retrieve performance statistics abou"},{"name":"manage_aws_glue_crawlers","description":"Manage AWS Glue crawlers to discover and catalog data sources.\n\nThis tool provides comprehensive operations for AWS Glue crawlers, which automatically discover and catalog\ndata from various sources like S3, JDBC databases, DynamoDB, and more. Crawlers examine your data sources,\ndetermine schemas, and register metadata in the AWS Glue Data Catalog.\n\n## Requirements\n- The server must be run with the `--allow-write` flag for create, delete, start, stop, and update operations\n- Appropriate AWS permi"},{"name":"manage_aws_glue_databases","description":"Manage AWS Glue Data Catalog databases with both read and write operations.\n\nThis tool provides operations for managing Glue Data Catalog databases, including creating,\nupdating, retrieving, listing, and deleting databases. It serves as the primary mechanism\nfor database management within the AWS Glue Data Catalog.\n\n## Requirements\n- The server must be run with the `--allow-write` flag for create-database, update-database, and delete-database operations\n- Appropriate AWS permissions for Glue Dat"},{"name":"manage_aws_glue_encryption","description":"Manage AWS Glue Data Catalog Encryption Settings for data protection.\n\nThis tool allows you to retrieve and update AWS Glue Data Catalog Encryption Settings, which control\nhow metadata and connection passwords are encrypted in the Data Catalog.\n\n## Requirements\n- The server must be run with the `--allow-write` flag for put-catalog-encryption-settings operation\n- Appropriate AWS permissions for Glue Data Catalog Encryption operations\n\n## Operations\n- **get-catalog-encryption-settings**: Retrieve "},{"name":"manage_aws_glue_jobs","description":"Manage AWS Glue ETL jobs and job runs with both read and write operations.\n\nThis tool provides comprehensive operations for managing AWS Glue ETL jobs and job runs,\nincluding creating, updating, retrieving, listing, starting, stopping, and monitoring jobs.\n\n## Requirements\n- The server must be run with the `--allow-write` flag for create-job, delete-job, update-job, start-job-run, stop-job-run, and batch-stop-job-run operations\n- Appropriate AWS permissions for Glue ETL job operations\n\n## Job Op"},{"name":"manage_aws_glue_partitions","description":"Manage AWS Glue Data Catalog partitions with both read and write operations.\n\nPartitions in AWS Glue represent a way to organize table data based on the values\nof one or more columns. They enable efficient querying and processing of large datasets\nby allowing queries to target specific subsets of data.\n\n## Requirements\n- The server must be run with the `--allow-write` flag for create-partition, update-partition, and delete-partition operations\n- Database and table must exist before creating part"},{"name":"manage_aws_glue_resource_policies","description":"Manage AWS Glue Resource Policies for access control.\n\nThis tool allows you to retrieve, create, update, and delete AWS Glue Resource Policies, which\ncontrol access to Glue resources through IAM policy documents.\n\n## Requirements\n- The server must be run with the `--allow-write` flag for put-resource-policy and delete-resource-policy operations\n- Appropriate AWS permissions for Glue Resource Policy operations\n\n## Operations\n- **get-resource-policy**: Retrieve the current resource policy\n- **put-"},{"name":"manage_aws_glue_security_configurations","description":"Manage AWS Glue Security Configurations for data encryption.\n\nThis tool allows you to create, retrieve, and delete AWS Glue Security Configurations, which define\nencryption settings for Glue jobs, crawlers, and development endpoints.\n\n## Requirements\n- The server must be run with the `--allow-write` flag for create-security-configuration and delete-security-configuration operations\n- Appropriate AWS permissions for Glue Security Configuration operations\n\n## Operations\n- **create-security-configu"},{"name":"manage_aws_glue_sessions","description":"Manage AWS Glue Interactive Sessions for running Spark and Ray workloads.\n\nThis tool provides operations for creating and managing Glue Interactive Sessions, which\nenable interactive development and execution of Spark ETL scripts and Ray applications.\nInteractive sessions provide a responsive environment for data exploration, debugging,\nand iterative development.\n\n## Requirements\n- The server must be run with the `--allow-write` flag for create-session, delete-session, and stop-session operation"},{"name":"manage_aws_glue_statements","description":"Manage AWS Glue Interactive Session Statements for executing code and retrieving results.\n\nThis tool provides operations for executing code, canceling running statements, and retrieving\nresults within Glue Interactive Sessions. It enables interactive data processing, exploration,\nand analysis using Spark or Ray in AWS Glue.\n\n## Requirements\n- The server must be run with the `--allow-write` flag for run-statement and cancel-statement operations\n- Appropriate AWS permissions for Glue Interactive S"},{"name":"manage_aws_glue_tables","description":"Manage AWS Glue Data Catalog tables with both read and write operations.\n\nThis tool provides comprehensive operations for managing Glue Data Catalog tables,\nincluding creating, updating, retrieving, listing, searching, and deleting tables.\nTables define the schema and metadata for data stored in various formats and locations.\n\n## Requirements\n- The server must be run with the `--allow-write` flag for create-table, update-table, and delete-table operations\n- Database must exist before creating ta"},{"name":"manage_aws_glue_triggers","description":"Manage AWS Glue triggers to automate workflow and job execution.\n\nThis tool allows you to create, delete, retrieve, list, start, and stop AWS Glue triggers.\nTriggers define the conditions that automatically start jobs or workflows, enabling\nscheduled or event-based execution of your ETL processes.\n\n## Requirements\n- The server must be run with the `--allow-write` flag for create-trigger, delete-trigger, start-trigger, and stop-trigger operations\n- Appropriate AWS permissions for Glue trigger ope"},{"name":"manage_aws_glue_usage_profiles","description":"Manage AWS Glue Usage Profiles for resource allocation and cost management.\n\nThis tool allows you to create, retrieve, update, and delete AWS Glue Usage Profiles, which define\nresource allocation and cost management settings for Glue jobs and interactive sessions.\n\n## Requirements\n- The server must be run with the `--allow-write` flag for create-profile, delete-profile, and update-profile operations\n- Appropriate AWS permissions for Glue Usage Profile operations\n\n## Operations\n- **create-profile"},{"name":"manage_aws_glue_workflows","description":"Manage AWS Glue workflows to orchestrate complex ETL activities.\n\nThis tool allows you to create, delete, retrieve, list, and start AWS Glue workflows.\nWorkflows help you design and visualize complex ETL activities as a series of dependent\njobs and crawlers, making it easier to manage and monitor your data processing pipelines.\n\n## Requirements\n- The server must be run with the `--allow-write` flag for create-workflow, delete-workflow, and start-workflow-run operations\n- Appropriate AWS permissi"},{"name":"upload_to_s3","description":"Upload Python code content directly to an S3 bucket using putObject.\n\nThis tool uploads Python code content directly to an S3 bucket, commonly used\nfor storing Glue job scripts, EMR step scripts, or other data processing code.\nThe uploaded file can be referenced by data processing services.\n\n## Requirements\n- The server must be run with the `--allow-write` flag\n- Valid AWS credentials with permissions to write to the specified S3 bucket\n- The bucket must exist and be accessible\n\n## Usage Tips\n- "}],"config":[{"name":"aws-dataprocessing.aws_region","description":"","type":"string","secret":false,"required":true},{"name":"aws-dataprocessing.aws_profile","description":"","type":"string","secret":false,"required":true}],"needs_setup":true,"network":true,"prepull":["mcp\/aws-dataprocessing-mcp-server@sha256:8dc85c2f47b469bb1044671c16e142d7897acc93fb134a0a08e96a0a3106dfc5"]}},"settings":[{"name":"aws-dataprocessing.aws_region","description":"","type":"string","required":true,"example":"","default":""},{"name":"aws-dataprocessing.aws_profile","description":"","type":"string","required":true,"example":"","default":""}],"docs_url":"https:\/\/desktop.docker.com\/mcp\/catalog\/v3\/readme\/aws-dataprocessing.md"},"source_kind":"docker-mcp-catalog","license":"Apache License 2.0","upstream":"https:\/\/github.com\/awslabs\/mcp","owner":"awslabs","tags":["aws"],"popularity":{"pulls":31042,"stars":0,"github_stars":9769},"readme_url":"https:\/\/desktop.docker.com\/mcp\/catalog\/v3\/readme\/aws-dataprocessing.md","date_added":"2025-11-06T18:02:41Z","packaged_by":"Docker"},{"slug":"mcp-aws-diagram","name":"AWS Diagram","description":"Seamlessly create diagrams using the Python diagrams package DSL. This server allows you to generate AWS diagrams, sequence diagrams, flow diagrams, and class diagrams using Python code.","category":"mcp","publisher":"docker","icon":"","icon_small":"","icon_url":"\/icon\/mcp-aws-diagram?v=e61fdb5ee7a0.6314dc26","readme":true,"page_url":"https:\/\/store.selfmade.work\/app\/mcp-aws-diagram","first_party":false,"publisher_verified":true,"updated_at":1791851261,"image":{"state":"built","ref":"mcp\/aws-diagram@sha256:453d5fc6b50b2f58c91364d98fc74ec7e8158a069c4bb2ea4d5e32c95c84375e","digest":"sha256:453d5fc6b50b2f58c91364d98fc74ec7e8158a069c4bb2ea4d5e32c95c84375e"},"version":"e61fdb5ee7a0c10e875874d8030609cff58e3af3","state":"listed","versions":[],"repo_url":"https:\/\/github.com\/awslabs\/mcp\/tree\/8f8460d377c692b27764daf20dfc3510706f98ca\/src\/aws-diagram-mcp-server","requires":{"render":false,"driver":"sysbox","min_plan":null},"categories":["devops","mcp-servers"],"categories_source":"derived","kind":"mcp","installs":0,"pull_count":60540,"tools_count":3,"known_publisher":false,"remote":false,"config_kind":"secrets","created_at":1746475474,"mcp":{"key":"aws-diagram","type":"server","transport":"stdio","image":"mcp\/aws-diagram","digest":"sha256:453d5fc6b50b2f58c91364d98fc74ec7e8158a069c4bb2ea4d5e32c95c84375e","remote_url":"","tools":[{"name":"generate_diagram","description":"[DEPRECATED] Generate a diagram from Python code using the diagrams package.\n\nDEPRECATED: This server is deprecated. Use the diagram agent skill instead:\nhttps:\/\/github.com\/awslabs\/agent-plugins\/tree\/main\/plugins\/deploy-on-aws\n\nThis tool accepts Python code as a string that uses the diagrams package DSL\nand generates a PNG diagram without displaying it. The code is executed with\nshow=False to prevent automatic display.\n\nUSAGE INSTRUCTIONS:\nNever import. Start writing code immediately with `with Diagram(` and use the icons you found with list_icons.\n1. First use get_diagram_examples to understand the syntax and capabilities\n2. Then use list_icons to discover all available icons. These are the only icons you can work with.\n3. You MUST use icon names exactly as they are in the list_icons response, case-sensitive.\n4. Write your diagram code following python diagrams examples. Do not import any additional icons or packages, the runtime already imports everything needed.\n5. Submit your code "},{"name":"get_diagram_examples","description":"[DEPRECATED] Get example code for different types of diagrams.\n\nDEPRECATED: This server is deprecated. Use the diagram agent skill instead:\nhttps:\/\/github.com\/awslabs\/agent-plugins\/tree\/main\/plugins\/deploy-on-aws\n\nThis tool provides ready-to-use example code for various diagram types.\nUse these examples to understand the syntax and capabilities of the diagrams package\nbefore creating your own custom diagrams.\n\nUSAGE INSTRUCTIONS:\n1. Select the diagram type you're interested in (or 'all' to see all examples)\n2. Study the returned examples to understand the structure and syntax\n3. Use these examples as templates for your own diagrams\n4. When ready, modify an example or write your own code and use generate_diagram\n\nEXAMPLE CATEGORIES:\n- aws: AWS cloud architecture diagrams (basic services, grouped workers, clustered web services, Bedrock)\n- sequence: Process and interaction flow diagrams\n- flow: Decision trees and workflow diagrams\n- class: Object relationship and inheritance diagrams\n- k"},{"name":"list_icons","description":"[DEPRECATED] List available icons from the diagrams package, with optional filtering.\n\nDEPRECATED: This server is deprecated. Use the diagram agent skill instead:\nhttps:\/\/github.com\/awslabs\/agent-plugins\/tree\/main\/plugins\/deploy-on-aws\n\nThis tool dynamically inspects the diagrams package to find available\nproviders, services, and icons that can be used in diagrams.\n\nUSAGE INSTRUCTIONS:\n1. Call without filters to get a list of available providers\n2. Call with provider_filter to get all services and icons for that provider\n3. Call with both provider_filter and service_filter to get icons for a specific service\n\nExample workflow:\n- First call: list_icons() \u2192 Returns all available providers\n- Second call: list_icons(provider_filter=\"aws\") \u2192 Returns all AWS services and icons\n- Third call: list_icons(provider_filter=\"aws\", service_filter=\"compute\") \u2192 Returns AWS compute icons\n\nThis approach is more efficient than loading all icons at once, especially when you only need\nicons from specific p"}],"tools_count":3,"secrets":[],"env":[],"config_schema":[{"name":"aws-diagram","description":"Configure the output directory for generated diagram images","type":"object","properties":{"output_dir":{"type":"string"}},"required":["output_dir"]}],"oauth":[],"zero_config":false,"needs_setup":false,"tools_after_setup":false,"network":true,"network_source":"catalog","installable":true,"install_reason":"","server_name":"aws-diagram","server_entry":{"command":"docker","args":["run","-i","--rm","--init","--security-opt","no-new-privileges","-v",".\/mcp\/aws-diagram\/output_dir:\/tmp\/generated-diagrams","mcp\/aws-diagram@sha256:453d5fc6b50b2f58c91364d98fc74ec7e8158a069c4bb2ea4d5e32c95c84375e"],"x-labs":{"title":"AWS Diagram","description":"Seamlessly create diagrams using the Python diagrams package DSL. This server allows you to generate AWS diagrams, sequence diagrams, flow diagrams, and class diagrams using Python code.","icon":"https:\/\/avatars.githubusercontent.com\/u\/3299148?v=4","timeout":30,"tools":[{"name":"generate_diagram","description":"[DEPRECATED] Generate a diagram from Python code using the diagrams package.\n\nDEPRECATED: This server is deprecated. Use the diagram agent skill instead:\nhttps:\/\/github.com\/awslabs\/agent-plugins\/tree\/main\/plugins\/deploy-on-aws\n\nThis tool accepts Python code as a string that uses the diagrams package DSL\nand generates a PNG diagram without displaying it. The code is executed with\nshow=False to prevent automatic display.\n\nUSAGE INSTRUCTIONS:\nNever import. Start writing code immediately with `with "},{"name":"get_diagram_examples","description":"[DEPRECATED] Get example code for different types of diagrams.\n\nDEPRECATED: This server is deprecated. Use the diagram agent skill instead:\nhttps:\/\/github.com\/awslabs\/agent-plugins\/tree\/main\/plugins\/deploy-on-aws\n\nThis tool provides ready-to-use example code for various diagram types.\nUse these examples to understand the syntax and capabilities of the diagrams package\nbefore creating your own custom diagrams.\n\nUSAGE INSTRUCTIONS:\n1. Select the diagram type you're interested in (or 'all' to see a"},{"name":"list_icons","description":"[DEPRECATED] List available icons from the diagrams package, with optional filtering.\n\nDEPRECATED: This server is deprecated. Use the diagram agent skill instead:\nhttps:\/\/github.com\/awslabs\/agent-plugins\/tree\/main\/plugins\/deploy-on-aws\n\nThis tool dynamically inspects the diagrams package to find available\nproviders, services, and icons that can be used in diagrams.\n\nUSAGE INSTRUCTIONS:\n1. Call without filters to get a list of available providers\n2. Call with provider_filter to get all services a"}],"config":[],"needs_setup":false,"network":true,"prepull":["mcp\/aws-diagram@sha256:453d5fc6b50b2f58c91364d98fc74ec7e8158a069c4bb2ea4d5e32c95c84375e"]}},"settings":[],"docs_url":"https:\/\/desktop.docker.com\/mcp\/catalog\/v3\/readme\/aws-diagram.md"},"source_kind":"docker-mcp-catalog","license":"Apache License 2.0","upstream":"https:\/\/github.com\/awslabs\/mcp","owner":"awslabs","tags":["aws-diagram","devops"],"popularity":{"pulls":60540,"stars":1,"github_stars":9769},"readme_url":"https:\/\/desktop.docker.com\/mcp\/catalog\/v3\/readme\/aws-diagram.md","date_added":"2025-05-05T20:04:34Z","packaged_by":"Docker"},{"slug":"mcp-aws-documentation","name":"AWS Documentation","description":"Tools to access AWS documentation, search for content, and get recommendations.","category":"mcp","publisher":"docker","icon":"","icon_small":"","icon_url":"\/icon\/mcp-aws-documentation?v=e68d64d0f476.6314dc26","readme":true,"page_url":"https:\/\/store.selfmade.work\/app\/mcp-aws-documentation","first_party":false,"publisher_verified":true,"updated_at":1791851262,"image":{"state":"built","ref":"mcp\/aws-documentation@sha256:07888232dde9d7fe4acf8df23da4f28015f194c4eb6aa327e836fdb30dbc5e8e","digest":"sha256:07888232dde9d7fe4acf8df23da4f28015f194c4eb6aa327e836fdb30dbc5e8e"},"version":"e68d64d0f476fced95c697a273598a9a5fdc1357","state":"listed","versions":[],"repo_url":"https:\/\/github.com\/awslabs\/mcp\/tree\/636aca8e109b5559006044f035bb89c16e9e5410\/src\/aws-documentation-mcp-server","requires":{"render":false,"driver":"sysbox","min_plan":null},"categories":["devops","mcp-servers"],"categories_source":"derived","kind":"mcp","installs":0,"pull_count":118790,"tools_count":4,"known_publisher":false,"remote":false,"config_kind":"none","created_at":1746475474,"mcp":{"key":"aws-documentation","type":"server","transport":"stdio","image":"mcp\/aws-documentation","digest":"sha256:07888232dde9d7fe4acf8df23da4f28015f194c4eb6aa327e836fdb30dbc5e8e","remote_url":"","tools":[{"name":"read_documentation","description":"Fetch and convert an AWS documentation page to markdown format.\n\n## Usage\n\nThis tool retrieves the content of an AWS documentation page and converts it to markdown format.\nFor long documents, you can make multiple calls with different start_index values to retrieve\nthe entire content in chunks.\n\n## URL Requirements\n\n- Must be from the docs.aws.amazon.com domain\n- Must end with .html\n\n## Example URLs\n\n- https:\/\/docs.aws.amazon.com\/AmazonS3\/latest\/userguide\/bucketnamingrules.html\n- https:\/\/docs.aws.amazon.com\/lambda\/latest\/dg\/lambda-invocation.html\n\n## Output Format\n\nThe output is formatted as markdown text with:\n- Preserved headings and structure\n- Code blocks for examples\n- Lists and tables converted to markdown format\n\n## Handling Long Documents\n\nIf the response indicates the document was truncated, you have several options:\n\n1. **Continue Reading**: Make another call with start_index set to the end of the previous response\n2. **Stop Early**: For very long documents (>30,000 character"},{"name":"read_sections","description":"Extract specific sections from AWS documentation pages by title.\n\nRetrieves a page, converts to markdown, and returns only matching sections.\nSection matching is case-insensitive and handles whitespace differences.\n\n## URL Requirements\n- Must end with .html\n\n## Read Sections Tips\n\n- Use exact section titles from search results 'sections' field when available\n- Section matching is case-insensitive and handles whitespace differences\n- Include multiple related sections in one call for comprehensive coverage\n\n## Example Usage\n\n```\n# If query is about S3 bucket naming rules:\n# Available sections: ['General purpose buckets naming rules', 'Example general purpose bucket names', 'Best practices', 'Creating a bucket that uses a GUID in the bucket name']\n# Read these specific sections:\nread_sections(\n url='https:\/\/docs.aws.amazon.com\/s3\/latest\/userguide\/bucketnamingrules.html',\n section_titles=['General purpose buckets naming rules', 'Best practices'],\n)\n\n# If query is about Python Lambda "},{"name":"recommend","description":"Get content recommendations for an AWS documentation page.\n\n## Usage\n\nThis tool provides recommendations for related AWS documentation pages based on a given URL.\nUse it to discover additional relevant content that might not appear in search results.\n\n## Recommendation Types\n\nThe recommendations include four categories:\n\n1. **Highly Rated**: Popular pages within the same AWS service\n2. **New**: Recently added pages within the same AWS service - useful for finding newly released features\n3. **Similar**: Pages covering similar topics to the current page\n4. **Journey**: Pages commonly viewed next by other users\n\n## When to Use\n\n- After reading a documentation page to find related content\n- When exploring a new AWS service to discover important pages\n- To find alternative explanations of complex concepts\n- To discover the most popular pages for a service\n- To find newly released information by using a service's welcome page URL and checking the **New** recommendations\n\n## Finding New Featu"},{"name":"search_documentation","description":"Search AWS documentation using the official AWS Documentation Search API.\n\n## Usage\n\nThis tool searches across all AWS documentation for pages matching your search phrase.\nUse it to find relevant documentation when you don't have a specific URL.\n\n## Search Tips\n\n- Use specific technical terms rather than general phrases\n- Include service names to narrow results (e.g., \"S3 bucket versioning\" instead of just \"versioning\")\n- Use quotes for exact phrase matching (e.g., \"AWS Lambda function URLs\")\n- Include abbreviations and alternative terms to improve results\n- Use guide_type and product_type filters found from a SearchResponse's \"facets\" property:\n - Filter only for broad search queries with patterns:\n - \"What is [service]?\" -> product_types: [\"Amazon Simple Storage Service\"]\n - \"How to use with ?\" -> product_types: [, ]\n - \"[service] getting started\" -> product_types: [] + guide_types: [\"User Guide, \"Developer"}],"tools_count":4,"secrets":[],"env":[],"config_schema":[],"oauth":[],"zero_config":true,"needs_setup":false,"tools_after_setup":false,"network":true,"network_source":"catalog","installable":true,"install_reason":"","server_name":"aws-documentation","server_entry":{"command":"docker","args":["run","-i","--rm","--init","--security-opt","no-new-privileges","mcp\/aws-documentation@sha256:07888232dde9d7fe4acf8df23da4f28015f194c4eb6aa327e836fdb30dbc5e8e"],"x-labs":{"title":"AWS Documentation","description":"Tools to access AWS documentation, search for content, and get recommendations.","icon":"https:\/\/avatars.githubusercontent.com\/u\/3299148?v=4","timeout":30,"tools":[{"name":"read_documentation","description":"Fetch and convert an AWS documentation page to markdown format.\n\n## Usage\n\nThis tool retrieves the content of an AWS documentation page and converts it to markdown format.\nFor long documents, you can make multiple calls with different start_index values to retrieve\nthe entire content in chunks.\n\n## URL Requirements\n\n- Must be from the docs.aws.amazon.com domain\n- Must end with .html\n\n## Example URLs\n\n- https:\/\/docs.aws.amazon.com\/AmazonS3\/latest\/userguide\/bucketnamingrules.html\n- https:\/\/docs.aw"},{"name":"read_sections","description":"Extract specific sections from AWS documentation pages by title.\n\nRetrieves a page, converts to markdown, and returns only matching sections.\nSection matching is case-insensitive and handles whitespace differences.\n\n## URL Requirements\n- Must end with .html\n\n## Read Sections Tips\n\n- Use exact section titles from search results 'sections' field when available\n- Section matching is case-insensitive and handles whitespace differences\n- Include multiple related sections in one call for comprehensive"},{"name":"recommend","description":"Get content recommendations for an AWS documentation page.\n\n## Usage\n\nThis tool provides recommendations for related AWS documentation pages based on a given URL.\nUse it to discover additional relevant content that might not appear in search results.\n\n## Recommendation Types\n\nThe recommendations include four categories:\n\n1. **Highly Rated**: Popular pages within the same AWS service\n2. **New**: Recently added pages within the same AWS service - useful for finding newly released features\n3. **Sim"},{"name":"search_documentation","description":"Search AWS documentation using the official AWS Documentation Search API.\n\n## Usage\n\nThis tool searches across all AWS documentation for pages matching your search phrase.\nUse it to find relevant documentation when you don't have a specific URL.\n\n## Search Tips\n\n- Use specific technical terms rather than general phrases\n- Include service names to narrow results (e.g., \"S3 bucket versioning\" instead of just \"versioning\")\n- Use quotes for exact phrase matching (e.g., \"AWS Lambda function URLs\")\n- "}],"config":[],"needs_setup":false,"network":true,"prepull":["mcp\/aws-documentation@sha256:07888232dde9d7fe4acf8df23da4f28015f194c4eb6aa327e836fdb30dbc5e8e"]}},"settings":[],"docs_url":"https:\/\/desktop.docker.com\/mcp\/catalog\/v3\/readme\/aws-documentation.md"},"source_kind":"docker-mcp-catalog","license":"Apache License 2.0","upstream":"https:\/\/github.com\/awslabs\/mcp","owner":"awslabs","tags":["aws-documentation","devops"],"popularity":{"pulls":118790,"stars":2,"github_stars":9769},"readme_url":"https:\/\/desktop.docker.com\/mcp\/catalog\/v3\/readme\/aws-documentation.md","date_added":"2025-05-05T20:04:34Z","packaged_by":"Docker"},{"slug":"mcp-aws-healthomics","name":"AWS HealthOmics","description":"Generate, run, debug lifescience workflows.","category":"mcp","publisher":"docker","icon":"","icon_small":"","icon_url":"\/icon\/mcp-aws-healthomics?v=99de6ff4d3af.6314dc26","readme":true,"page_url":"https:\/\/store.selfmade.work\/app\/mcp-aws-healthomics","first_party":false,"publisher_verified":true,"updated_at":1791851264,"image":{"state":"built","ref":"mcp\/aws-healthomics-mcp-server@sha256:ec0cd4776cbe1303816aaeaf8a8cbca57fbbe4805dff19a8898ba711275d1410","digest":"sha256:ec0cd4776cbe1303816aaeaf8a8cbca57fbbe4805dff19a8898ba711275d1410"},"version":"99de6ff4d3af528263e133e63167a8b9f3c83182","state":"listed","versions":[],"repo_url":"https:\/\/github.com\/awslabs\/mcp\/tree\/636aca8e109b5559006044f035bb89c16e9e5410\/src\/aws-healthomics-mcp-server","requires":{"render":false,"driver":"sysbox","min_plan":null},"categories":["mcp-servers"],"categories_source":"derived","kind":"mcp","installs":0,"pull_count":12347,"tools_count":73,"known_publisher":false,"remote":false,"config_kind":"secrets","created_at":1762452161,"mcp":{"key":"aws-healthomics","type":"server","transport":"stdio","image":"mcp\/aws-healthomics-mcp-server","digest":"sha256:ec0cd4776cbe1303816aaeaf8a8cbca57fbbe4805dff19a8898ba711275d1410","remote_url":"","tools":[{"name":"ActivateAHOReadSets","description":"Activate archived read sets in a HealthOmics sequence store.\n\nStarts an activation job to move read sets from archive storage back to active storage."},{"name":"AnalyzeAHORunPerformance","description":"Analyze AWS HealthOmics workflow run performance and provide optimization recommendations.\n\nThis tool analyzes HealthOmics workflow runs to help users optimize:\n- Resource utilization patterns (CPU, memory)\n- Cost optimization opportunities\n- Performance bottlenecks\n- Resource allocation efficiency\n- Runtime optimization suggestions\n\nUse this tool when users ask about:\n- \"How can I optimize my HealthOmics runs?\"\n- \"Why is my workflow using too many resources?\"\n- \"How can I reduce costs for my genomic workflows?\"\n- \"What resources are being wasted in my runs?\"\n- \"How can I improve workflow performance?\"\n\nThe tool summarizes run manifest logs containing task-level metrics\nand provides a structured report with recommendations for optimization."},{"name":"CancelAHORunBatch","description":"Cancel all runs in a HealthOmics batch."},{"name":"CheckContainerAvailability","description":"Check if a container image is available in ECR and accessible by HealthOmics.\n\nQueries ECR to determine if a specific container image exists in a repository\nand whether HealthOmics has the required permissions to pull the image.\nFor pull-through cache repositories, indicates that the image may be pulled\non first access even if not currently cached.\n\nWhen initiate_pull_through is True and the image is not found in a pull-through\ncache repository that is accessible to HealthOmics, this function will attempt\nto initiate the pull-through using ECR's batch_get_image API call. This triggers\nECR to pull the image from the upstream registry and cache it locally."},{"name":"CloneContainerToECR","description":"Clone a container image to a private ECR repository for HealthOmics use.\n\nThis tool copies a container image from an upstream registry (Docker Hub, Quay.io,\nECR Public) to your private ECR repository with appropriate HealthOmics access\npermissions. It uses ECR pull-through cache to perform the copy.\n\nThe tool will:\n1. Parse the source image reference (handling Docker Hub shorthand like \"ubuntu:latest\")\n2. Find an existing pull-through cache rule for the source registry\n3. Use the pull-through cache to pull the image into ECR\n4. Grant HealthOmics access permissions to the repository\n5. Return the ECR URI and digest for use in workflows\n\nImage reference formats supported:\n- \"ubuntu:latest\" -> registry-1.docker.io\/library\/ubuntu:latest\n- \"myorg\/myimage:v1\" -> registry-1.docker.io\/myorg\/myimage:v1\n- \"quay.io\/biocontainers\/samtools:1.17\" -> quay.io\/biocontainers\/samtools:1.17\n- \"public.ecr.aws\/lts\/ubuntu:22.04\" -> public.ecr.aws\/lts\/ubuntu:22.04"},{"name":"CreateAHOConfiguration","description":"Create a new HealthOmics configuration."},{"name":"CreateAHORunCache","description":"Create a new HealthOmics run cache."},{"name":"CreateAHORunGroup","description":"Create a new HealthOmics run group."},{"name":"CreateAHOSequenceStore","description":"Create a new HealthOmics sequence store."},{"name":"CreateAHOWorkflow","description":"Create a new HealthOmics workflow."},{"name":"CreateAHOWorkflowVersion","description":"Create a new version of an existing workflow."},{"name":"CreateCodeConnection","description":"Create a new CodeConnection.\n\nThis function creates a new AWS CodeConnection for connecting to a\nthird-party Git provider. The connection will be created in PENDING\nstatus and requires OAuth authorization in the AWS Console to become\nAVAILABLE."},{"name":"CreateContainerRegistryMap","description":"Create a container registry map for HealthOmics workflows.\n\nCreates a container registry map file that can be used when creating HealthOmics\nworkflows. Registry mappings allow workflows to use container images from upstream\nregistries (Docker Hub, Quay.io, ECR Public) without modifying the workflow\ndefinition. The mappings redirect container pulls to your private ECR pull-through\ncaches.\n\nBy default, this tool discovers all HealthOmics-usable pull-through cache rules\nin your ECR registry and creates mappings for them. You can also provide additional\nregistry mappings or specific image mappings for container overrides."},{"name":"CreatePullThroughCacheForHealthOmics","description":"Create a pull-through cache rule configured for HealthOmics.\n\nCreates an ECR pull-through cache rule for the specified upstream registry\nand configures the necessary permissions for HealthOmics to use it. This includes:\n1. Creating the pull-through cache rule\n2. Updating the registry permissions policy to allow HealthOmics to create\n repositories and import images\n3. Creating a repository creation template that grants HealthOmics the\n required permissions to pull images"},{"name":"DeleteAHOBatch","description":"Delete a HealthOmics batch metadata (does not delete runs)."},{"name":"DeleteAHOConfiguration","description":"Delete a HealthOmics configuration."},{"name":"DeleteAHORunBatch","description":"Delete all runs in a HealthOmics batch."},{"name":"DiagnoseAHORunFailure","description":"Provides comprehensive diagnostic information for a failed workflow run.\n\nThis function collects multiple sources of diagnostic information including:\n- Run details and failure reason\n- Engine logs from CloudWatch\n- Run manifest logs containing workflow summary and resource metrics (when detailed=True)\n- Task logs from all failed tasks\n- Actionable recommendations for troubleshooting"},{"name":"GenerateAHORunTimeline","description":"Generate a Gantt-style timeline visualization for an AWS HealthOmics workflow run.\n\nThis tool creates an SVG Gantt chart showing task execution phases (pending and running)\nwith status-based coloring. The chart helps visualize task parallelism and identify\nbottlenecks in workflow execution.\n\nUse this tool when users ask about:\n- \"Show me a timeline of my workflow run\"\n- \"Visualize the execution of my HealthOmics workflow\"\n- \"Create a Gantt chart for my run\"\n- \"How did my tasks execute over time?\"\n- \"What was the parallelism in my workflow?\"\n\nThe chart displays:\n- Pending\/starting phase (light grey bars)\n- Running phase (colored by status: blue=COMPLETED, red=FAILED, orange=CANCELLED)\n- Interactive tooltips with task details (name, CPUs, memory, instance type, cost)\n- Time axis with configurable units (seconds, minutes, hours, days)"},{"name":"GetAHOBatch","description":"Get details of a specific HealthOmics batch."},{"name":"GetAHOConfiguration","description":"Get details of a specific HealthOmics configuration."},{"name":"GetAHOReadSetExportJob","description":"Get details about a read set export job."},{"name":"GetAHOReadSetImportJob","description":"Get details about a read set import job."},{"name":"GetAHOReadSetMetadata","description":"Get metadata for a specific read set in a HealthOmics sequence store."},{"name":"GetAHOReferenceImportJob","description":"Get details about a reference import job.\n\nAWS HealthOmics allows only one reference store per account per region.\nIf reference_store_id is not provided, it will be automatically resolved."},{"name":"GetAHOReferenceMetadata","description":"Get metadata for a specific reference in a HealthOmics reference store.\n\nAWS HealthOmics allows only one reference store per account per region.\nIf reference_store_id is not provided, it will be automatically resolved."},{"name":"GetAHOReferenceStore","description":"Get details about a specific HealthOmics reference store.\n\nAWS HealthOmics allows only one reference store per account per region.\nIf reference_store_id is not provided, it will be automatically resolved."},{"name":"GetAHORun","description":"Get details about a specific run."},{"name":"GetAHORunCache","description":"Get details of a specific HealthOmics run cache."},{"name":"GetAHORunEngineLogs","description":"Retrieve engine logs containing STDOUT and STDERR from the workflow engine process.\n\nThese logs contain all output from the workflow engine process including:\n- Engine startup and initialization messages\n- Workflow parsing and validation output\n- Task scheduling and execution messages\n- Error messages and debugging information"},{"name":"GetAHORunGroup","description":"Get details of a specific HealthOmics run group."},{"name":"GetAHORunLogs","description":"Retrieve high-level run logs that show workflow execution events.\n\nThese logs contain a high-level summary of events during a run including:\n- Run creation and start events\n- File import start and completion\n- Workflow task start and completion\n- Export start and completion\n- Workflow completion"},{"name":"GetAHORunManifestLogs","description":"Retrieve run manifest logs produced when a workflow completes or fails.\n\nThese logs contain a summary of the overall workflow including:\n- Runtime information\n- Inputs and input digests\n- Messages and status information\n- Task summaries with resource allocation and utilization metrics"},{"name":"GetAHORunTask","description":"Get details about a specific task."},{"name":"GetAHOSequenceStore","description":"Get details about a specific HealthOmics sequence store."},{"name":"GetAHOSupportedRegions","description":"Get the list of AWS regions where HealthOmics is available."},{"name":"GetAHOTaskLogs","description":"Retrieve logs for a specific workflow task containing STDOUT and STDERR.\n\nThese logs contain the output from a specific task process including:\n- Task container startup messages\n- Application-specific output and error messages\n- Task completion or failure information"},{"name":"GetAHOWorkflow","description":"Get details about a specific workflow."},{"name":"GetCodeConnection","description":"Get details about a specific CodeConnection.\n\nThis function retrieves detailed information about a specific AWS\nCodeConnection, including its current status and guidance on next steps.\nUse this to check if a connection is ready for use with HealthOmics\nworkflows or if OAuth authorization is still required."},{"name":"GetSupportedFileTypes","description":"Get information about supported genomics file types."},{"name":"GrantHealthOmicsRepositoryAccess","description":"Grant HealthOmics access to an ECR repository.\n\nUpdates the repository policy to allow the HealthOmics service principal\n(omics.amazonaws.com) to pull images. This adds the required permissions:\n- ecr:BatchGetImage\n- ecr:GetDownloadUrlForLayer\n\nIf the repository already has a policy, the HealthOmics permissions are added\nwhile preserving existing statements. If no policy exists, a new policy is created."},{"name":"LintAHOWorkflowBundle","description":"Lint multi-file WDL or CWL workflow bundles and return validation findings.\n\nThis tool validates multi-file workflow bundles using appropriate linting tools:\n- WDL workflows: Uses miniwdl package for parsing and validation with import support\n- CWL workflows: Uses cwltool package for parsing and validation with dependency resolution\n\nThe tool creates a temporary directory structure that preserves the relative file paths,\nallowing proper resolution of imports and dependencies between workflow files.\n\nThe tool checks for:\n- Syntax errors and parsing issues across all files\n- Missing required fields (inputs, outputs, steps)\n- Import\/dependency resolution\n- Runtime requirements for tasks\n- Common workflow structure issues"},{"name":"LintAHOWorkflowDefinition","description":"Lint WDL or CWL workflow definitions and return validation findings.\n\nThis tool validates workflow definitions using appropriate linting tools:\n- WDL workflows: Uses miniwdl package for parsing and validation\n- CWL workflows: Uses cwltool package for parsing and validation\n\nThe tool checks for:\n- Syntax errors and parsing issues\n- Missing required fields (inputs, outputs, steps)\n- Runtime requirements for tasks\n- Common workflow structure issues"},{"name":"ListAHOBatches","description":"List HealthOmics batches."},{"name":"ListAHOConfigurations","description":"List HealthOmics configurations."},{"name":"ListAHOReadSetExportJobs","description":"List read set export jobs for a sequence store."},{"name":"ListAHOReadSetImportJobs","description":"List read set import jobs for a sequence store."},{"name":"ListAHOReadSets","description":"List read sets in a HealthOmics sequence store with optional filtering."},{"name":"ListAHOReferenceImportJobs","description":"List reference import jobs for a reference store.\n\nAWS HealthOmics allows only one reference store per account per region.\nIf reference_store_id is not provided, it will be automatically resolved."},{"name":"ListAHOReferenceStores","description":"List HealthOmics reference stores."},{"name":"ListAHOReferences","description":"List references in a HealthOmics reference store with optional filtering.\n\nAWS HealthOmics allows only one reference store per account per region.\nIf reference_store_id is not provided, it will be automatically resolved."},{"name":"ListAHORunCaches","description":"List HealthOmics run caches."},{"name":"ListAHORunGroups","description":"List HealthOmics run groups."},{"name":"ListAHORunTasks","description":"List tasks for a specific run."},{"name":"ListAHORuns","description":"List workflow runs."},{"name":"ListAHORunsInBatch","description":"List runs within a HealthOmics batch."},{"name":"ListAHOSequenceStores","description":"List HealthOmics sequence stores."},{"name":"ListAHOWorkflowVersions","description":"List versions of a workflow."},{"name":"ListAHOWorkflows","description":"List available HealthOmics workflows."},{"name":"ListCodeConnections","description":"List available CodeConnections.\n\nThis function retrieves existing CodeConnections that can be used with\nHealthOmics workflows. Connections can be filtered by provider type and\nresults are paginated."},{"name":"ListECRRepositories","description":"List ECR repositories with HealthOmics accessibility status.\n\nLists all ECR repositories in the current region and checks each repository's\npolicy to determine if HealthOmics has the required permissions to pull images."},{"name":"ListPullThroughCacheRules","description":"List pull-through cache rules with HealthOmics usability status.\n\nLists all ECR pull-through cache rules in the current region and evaluates\neach rule's usability by HealthOmics. A pull-through cache is usable by\nHealthOmics if:\n1. The registry permissions policy grants HealthOmics the required permissions\n2. A repository creation template exists for the prefix\n3. The template grants HealthOmics the required image pull permissions"},{"name":"PackageAHOWorkflow","description":"Package workflow definition files into a base64-encoded ZIP."},{"name":"SearchGenomicsFiles","description":"Search for genomics files across S3 buckets, HealthOmics sequence stores, and reference stores.\n\nThis tool provides intelligent search capabilities with pattern matching, file association detection,\nand ranked results based on relevance scoring. It can find genomics files across multiple storage\nlocations and automatically group related files together."},{"name":"StartAHOReadSetExportJob","description":"Start a read set export job to export read sets from a sequence store to S3."},{"name":"StartAHOReadSetImportJob","description":"Start a read set import job to import genomic files from S3 into a sequence store."},{"name":"StartAHOReferenceImportJob","description":"Start a reference import job to import reference files from S3 into a reference store.\n\nAWS HealthOmics allows only one reference store per account per region.\nIf reference_store_id is not provided, it will be automatically resolved.\n\nEach source in the sources list is validated against the ReferenceImportSource model\nand must include:\n - sourceFile: S3 URI pointing to a FASTA reference file (e.g. \"s3:\/\/bucket\/GRCh38.fasta\")\n - name: A name for the reference (e.g. \"GRCh38\")\n - description (optional): A description of the reference\n - tags (optional): Key-value tags as {\"key\": \"value\"}\n\nExample sources JSON:\n [{\"sourceFile\": \"s3:\/\/bucket\/GRCh38.fasta\", \"name\": \"GRCh38\",\n \"description\": \"Human reference genome build 38\",\n \"tags\": {\"build\": \"38\", \"species\": \"human\"}}]"},{"name":"StartAHORun","description":"Start a workflow run."},{"name":"StartAHORunBatch","description":"Start a new HealthOmics run batch."},{"name":"UpdateAHORunCache","description":"Update an existing HealthOmics run cache."},{"name":"UpdateAHORunGroup","description":"Update an existing HealthOmics run group."},{"name":"UpdateAHOSequenceStore","description":"Update a HealthOmics sequence store.\n\nInternally fetches the current ETag before performing the update to handle\noptimistic concurrency control."},{"name":"ValidateHealthOmicsECRConfig","description":"Validate ECR configuration for HealthOmics workflows.\n\nPerforms a comprehensive validation of the ECR configuration to ensure\nHealthOmics workflows can access container images through pull-through caches.\nThis includes checking:\n1. All pull-through cache rules in the region\n2. Registry permissions policy for HealthOmics principal\n3. Repository creation templates for each pull-through cache prefix\n4. Template permissions include required actions\n\nFor each issue found, provides specific remediation steps."}],"tools_count":73,"secrets":[],"env":[{"name":"AWS_REGION","value":"{{aws-healthomics.aws_region}}"},{"name":"AWS_PROFILE","value":"{{aws-healthomics.aws_profile}}"}],"config_schema":[{"name":"aws-healthomics","description":"Configure AWS credentials for HealthOmics access","type":"object","properties":{"aws_region":{"type":"string"},"aws_profile":{"type":"string"}}}],"oauth":[],"zero_config":false,"needs_setup":true,"tools_after_setup":false,"network":true,"network_source":"catalog","installable":true,"install_reason":"","server_name":"aws-healthomics","server_entry":{"command":"docker","args":["run","-i","--rm","--init","--security-opt","no-new-privileges","-e","AWS_PROFILE","-e","AWS_REGION","mcp\/aws-healthomics-mcp-server@sha256:ec0cd4776cbe1303816aaeaf8a8cbca57fbbe4805dff19a8898ba711275d1410"],"env":{"AWS_PROFILE":"{secret:aws-healthomics.aws_profile}","AWS_REGION":"{secret:aws-healthomics.aws_region}"},"x-labs":{"title":"AWS HealthOmics","description":"Generate, run, debug lifescience workflows.","icon":"https:\/\/avatars.githubusercontent.com\/u\/3299148?v=4","timeout":30,"tools":[{"name":"ActivateAHOReadSets","description":"Activate archived read sets in a HealthOmics sequence store.\n\nStarts an activation job to move read sets from archive storage back to active storage."},{"name":"AnalyzeAHORunPerformance","description":"Analyze AWS HealthOmics workflow run performance and provide optimization recommendations.\n\nThis tool analyzes HealthOmics workflow runs to help users optimize:\n- Resource utilization patterns (CPU, memory)\n- Cost optimization opportunities\n- Performance bottlenecks\n- Resource allocation efficiency\n- Runtime optimization suggestions\n\nUse this tool when users ask about:\n- \"How can I optimize my HealthOmics runs?\"\n- \"Why is my workflow using too many resources?\"\n- \"How can I reduce costs for my ge"},{"name":"CancelAHORunBatch","description":"Cancel all runs in a HealthOmics batch."},{"name":"CheckContainerAvailability","description":"Check if a container image is available in ECR and accessible by HealthOmics.\n\nQueries ECR to determine if a specific container image exists in a repository\nand whether HealthOmics has the required permissions to pull the image.\nFor pull-through cache repositories, indicates that the image may be pulled\non first access even if not currently cached.\n\nWhen initiate_pull_through is True and the image is not found in a pull-through\ncache repository that is accessible to HealthOmics, this function wi"},{"name":"CloneContainerToECR","description":"Clone a container image to a private ECR repository for HealthOmics use.\n\nThis tool copies a container image from an upstream registry (Docker Hub, Quay.io,\nECR Public) to your private ECR repository with appropriate HealthOmics access\npermissions. It uses ECR pull-through cache to perform the copy.\n\nThe tool will:\n1. Parse the source image reference (handling Docker Hub shorthand like \"ubuntu:latest\")\n2. Find an existing pull-through cache rule for the source registry\n3. Use the pull-through ca"},{"name":"CreateAHOConfiguration","description":"Create a new HealthOmics configuration."},{"name":"CreateAHORunCache","description":"Create a new HealthOmics run cache."},{"name":"CreateAHORunGroup","description":"Create a new HealthOmics run group."},{"name":"CreateAHOSequenceStore","description":"Create a new HealthOmics sequence store."},{"name":"CreateAHOWorkflow","description":"Create a new HealthOmics workflow."},{"name":"CreateAHOWorkflowVersion","description":"Create a new version of an existing workflow."},{"name":"CreateCodeConnection","description":"Create a new CodeConnection.\n\nThis function creates a new AWS CodeConnection for connecting to a\nthird-party Git provider. The connection will be created in PENDING\nstatus and requires OAuth authorization in the AWS Console to become\nAVAILABLE."},{"name":"CreateContainerRegistryMap","description":"Create a container registry map for HealthOmics workflows.\n\nCreates a container registry map file that can be used when creating HealthOmics\nworkflows. Registry mappings allow workflows to use container images from upstream\nregistries (Docker Hub, Quay.io, ECR Public) without modifying the workflow\ndefinition. The mappings redirect container pulls to your private ECR pull-through\ncaches.\n\nBy default, this tool discovers all HealthOmics-usable pull-through cache rules\nin your ECR registry and cre"},{"name":"CreatePullThroughCacheForHealthOmics","description":"Create a pull-through cache rule configured for HealthOmics.\n\nCreates an ECR pull-through cache rule for the specified upstream registry\nand configures the necessary permissions for HealthOmics to use it. This includes:\n1. Creating the pull-through cache rule\n2. Updating the registry permissions policy to allow HealthOmics to create\n repositories and import images\n3. Creating a repository creation template that grants HealthOmics the\n required permissions to pull images"},{"name":"DeleteAHOBatch","description":"Delete a HealthOmics batch metadata (does not delete runs)."},{"name":"DeleteAHOConfiguration","description":"Delete a HealthOmics configuration."},{"name":"DeleteAHORunBatch","description":"Delete all runs in a HealthOmics batch."},{"name":"DiagnoseAHORunFailure","description":"Provides comprehensive diagnostic information for a failed workflow run.\n\nThis function collects multiple sources of diagnostic information including:\n- Run details and failure reason\n- Engine logs from CloudWatch\n- Run manifest logs containing workflow summary and resource metrics (when detailed=True)\n- Task logs from all failed tasks\n- Actionable recommendations for troubleshooting"},{"name":"GenerateAHORunTimeline","description":"Generate a Gantt-style timeline visualization for an AWS HealthOmics workflow run.\n\nThis tool creates an SVG Gantt chart showing task execution phases (pending and running)\nwith status-based coloring. The chart helps visualize task parallelism and identify\nbottlenecks in workflow execution.\n\nUse this tool when users ask about:\n- \"Show me a timeline of my workflow run\"\n- \"Visualize the execution of my HealthOmics workflow\"\n- \"Create a Gantt chart for my run\"\n- \"How did my tasks execute over time?"},{"name":"GetAHOBatch","description":"Get details of a specific HealthOmics batch."},{"name":"GetAHOConfiguration","description":"Get details of a specific HealthOmics configuration."},{"name":"GetAHOReadSetExportJob","description":"Get details about a read set export job."},{"name":"GetAHOReadSetImportJob","description":"Get details about a read set import job."},{"name":"GetAHOReadSetMetadata","description":"Get metadata for a specific read set in a HealthOmics sequence store."},{"name":"GetAHOReferenceImportJob","description":"Get details about a reference import job.\n\nAWS HealthOmics allows only one reference store per account per region.\nIf reference_store_id is not provided, it will be automatically resolved."},{"name":"GetAHOReferenceMetadata","description":"Get metadata for a specific reference in a HealthOmics reference store.\n\nAWS HealthOmics allows only one reference store per account per region.\nIf reference_store_id is not provided, it will be automatically resolved."},{"name":"GetAHOReferenceStore","description":"Get details about a specific HealthOmics reference store.\n\nAWS HealthOmics allows only one reference store per account per region.\nIf reference_store_id is not provided, it will be automatically resolved."},{"name":"GetAHORun","description":"Get details about a specific run."},{"name":"GetAHORunCache","description":"Get details of a specific HealthOmics run cache."},{"name":"GetAHORunEngineLogs","description":"Retrieve engine logs containing STDOUT and STDERR from the workflow engine process.\n\nThese logs contain all output from the workflow engine process including:\n- Engine startup and initialization messages\n- Workflow parsing and validation output\n- Task scheduling and execution messages\n- Error messages and debugging information"},{"name":"GetAHORunGroup","description":"Get details of a specific HealthOmics run group."},{"name":"GetAHORunLogs","description":"Retrieve high-level run logs that show workflow execution events.\n\nThese logs contain a high-level summary of events during a run including:\n- Run creation and start events\n- File import start and completion\n- Workflow task start and completion\n- Export start and completion\n- Workflow completion"},{"name":"GetAHORunManifestLogs","description":"Retrieve run manifest logs produced when a workflow completes or fails.\n\nThese logs contain a summary of the overall workflow including:\n- Runtime information\n- Inputs and input digests\n- Messages and status information\n- Task summaries with resource allocation and utilization metrics"},{"name":"GetAHORunTask","description":"Get details about a specific task."},{"name":"GetAHOSequenceStore","description":"Get details about a specific HealthOmics sequence store."},{"name":"GetAHOSupportedRegions","description":"Get the list of AWS regions where HealthOmics is available."},{"name":"GetAHOTaskLogs","description":"Retrieve logs for a specific workflow task containing STDOUT and STDERR.\n\nThese logs contain the output from a specific task process including:\n- Task container startup messages\n- Application-specific output and error messages\n- Task completion or failure information"},{"name":"GetAHOWorkflow","description":"Get details about a specific workflow."},{"name":"GetCodeConnection","description":"Get details about a specific CodeConnection.\n\nThis function retrieves detailed information about a specific AWS\nCodeConnection, including its current status and guidance on next steps.\nUse this to check if a connection is ready for use with HealthOmics\nworkflows or if OAuth authorization is still required."},{"name":"GetSupportedFileTypes","description":"Get information about supported genomics file types."},{"name":"GrantHealthOmicsRepositoryAccess","description":"Grant HealthOmics access to an ECR repository.\n\nUpdates the repository policy to allow the HealthOmics service principal\n(omics.amazonaws.com) to pull images. This adds the required permissions:\n- ecr:BatchGetImage\n- ecr:GetDownloadUrlForLayer\n\nIf the repository already has a policy, the HealthOmics permissions are added\nwhile preserving existing statements. If no policy exists, a new policy is created."},{"name":"LintAHOWorkflowBundle","description":"Lint multi-file WDL or CWL workflow bundles and return validation findings.\n\nThis tool validates multi-file workflow bundles using appropriate linting tools:\n- WDL workflows: Uses miniwdl package for parsing and validation with import support\n- CWL workflows: Uses cwltool package for parsing and validation with dependency resolution\n\nThe tool creates a temporary directory structure that preserves the relative file paths,\nallowing proper resolution of imports and dependencies between workflow fil"},{"name":"LintAHOWorkflowDefinition","description":"Lint WDL or CWL workflow definitions and return validation findings.\n\nThis tool validates workflow definitions using appropriate linting tools:\n- WDL workflows: Uses miniwdl package for parsing and validation\n- CWL workflows: Uses cwltool package for parsing and validation\n\nThe tool checks for:\n- Syntax errors and parsing issues\n- Missing required fields (inputs, outputs, steps)\n- Runtime requirements for tasks\n- Common workflow structure issues"},{"name":"ListAHOBatches","description":"List HealthOmics batches."},{"name":"ListAHOConfigurations","description":"List HealthOmics configurations."},{"name":"ListAHOReadSetExportJobs","description":"List read set export jobs for a sequence store."},{"name":"ListAHOReadSetImportJobs","description":"List read set import jobs for a sequence store."},{"name":"ListAHOReadSets","description":"List read sets in a HealthOmics sequence store with optional filtering."},{"name":"ListAHOReferenceImportJobs","description":"List reference import jobs for a reference store.\n\nAWS HealthOmics allows only one reference store per account per region.\nIf reference_store_id is not provided, it will be automatically resolved."},{"name":"ListAHOReferenceStores","description":"List HealthOmics reference stores."},{"name":"ListAHOReferences","description":"List references in a HealthOmics reference store with optional filtering.\n\nAWS HealthOmics allows only one reference store per account per region.\nIf reference_store_id is not provided, it will be automatically resolved."},{"name":"ListAHORunCaches","description":"List HealthOmics run caches."},{"name":"ListAHORunGroups","description":"List HealthOmics run groups."},{"name":"ListAHORunTasks","description":"List tasks for a specific run."},{"name":"ListAHORuns","description":"List workflow runs."},{"name":"ListAHORunsInBatch","description":"List runs within a HealthOmics batch."},{"name":"ListAHOSequenceStores","description":"List HealthOmics sequence stores."},{"name":"ListAHOWorkflowVersions","description":"List versions of a workflow."},{"name":"ListAHOWorkflows","description":"List available HealthOmics workflows."},{"name":"ListCodeConnections","description":"List available CodeConnections.\n\nThis function retrieves existing CodeConnections that can be used with\nHealthOmics workflows. Connections can be filtered by provider type and\nresults are paginated."},{"name":"ListECRRepositories","description":"List ECR repositories with HealthOmics accessibility status.\n\nLists all ECR repositories in the current region and checks each repository's\npolicy to determine if HealthOmics has the required permissions to pull images."},{"name":"ListPullThroughCacheRules","description":"List pull-through cache rules with HealthOmics usability status.\n\nLists all ECR pull-through cache rules in the current region and evaluates\neach rule's usability by HealthOmics. A pull-through cache is usable by\nHealthOmics if:\n1. The registry permissions policy grants HealthOmics the required permissions\n2. A repository creation template exists for the prefix\n3. The template grants HealthOmics the required image pull permissions"},{"name":"PackageAHOWorkflow","description":"Package workflow definition files into a base64-encoded ZIP."},{"name":"SearchGenomicsFiles","description":"Search for genomics files across S3 buckets, HealthOmics sequence stores, and reference stores.\n\nThis tool provides intelligent search capabilities with pattern matching, file association detection,\nand ranked results based on relevance scoring. It can find genomics files across multiple storage\nlocations and automatically group related files together."},{"name":"StartAHOReadSetExportJob","description":"Start a read set export job to export read sets from a sequence store to S3."},{"name":"StartAHOReadSetImportJob","description":"Start a read set import job to import genomic files from S3 into a sequence store."},{"name":"StartAHOReferenceImportJob","description":"Start a reference import job to import reference files from S3 into a reference store.\n\nAWS HealthOmics allows only one reference store per account per region.\nIf reference_store_id is not provided, it will be automatically resolved.\n\nEach source in the sources list is validated against the ReferenceImportSource model\nand must include:\n - sourceFile: S3 URI pointing to a FASTA reference file (e.g. \"s3:\/\/bucket\/GRCh38.fasta\")\n - name: A name for the reference (e.g. \"GRCh38\")\n - description (op"},{"name":"StartAHORun","description":"Start a workflow run."},{"name":"StartAHORunBatch","description":"Start a new HealthOmics run batch."},{"name":"UpdateAHORunCache","description":"Update an existing HealthOmics run cache."},{"name":"UpdateAHORunGroup","description":"Update an existing HealthOmics run group."},{"name":"UpdateAHOSequenceStore","description":"Update a HealthOmics sequence store.\n\nInternally fetches the current ETag before performing the update to handle\noptimistic concurrency control."},{"name":"ValidateHealthOmicsECRConfig","description":"Validate ECR configuration for HealthOmics workflows.\n\nPerforms a comprehensive validation of the ECR configuration to ensure\nHealthOmics workflows can access container images through pull-through caches.\nThis includes checking:\n1. All pull-through cache rules in the region\n2. Registry permissions policy for HealthOmics principal\n3. Repository creation templates for each pull-through cache prefix\n4. Template permissions include required actions\n\nFor each issue found, provides specific remediatio"}],"config":[{"name":"aws-healthomics.aws_region","description":"","type":"string","secret":false,"required":true},{"name":"aws-healthomics.aws_profile","description":"","type":"string","secret":false,"required":true}],"needs_setup":true,"network":true,"prepull":["mcp\/aws-healthomics-mcp-server@sha256:ec0cd4776cbe1303816aaeaf8a8cbca57fbbe4805dff19a8898ba711275d1410"]}},"settings":[{"name":"aws-healthomics.aws_region","description":"","type":"string","required":true,"example":"","default":""},{"name":"aws-healthomics.aws_profile","description":"","type":"string","required":true,"example":"","default":""}],"docs_url":"https:\/\/desktop.docker.com\/mcp\/catalog\/v3\/readme\/aws-healthomics.md"},"source_kind":"docker-mcp-catalog","license":"Apache License 2.0","upstream":"https:\/\/github.com\/awslabs\/mcp","owner":"awslabs","tags":["aws"],"popularity":{"pulls":12347,"stars":0,"github_stars":9769},"readme_url":"https:\/\/desktop.docker.com\/mcp\/catalog\/v3\/readme\/aws-healthomics.md","date_added":"2025-11-06T18:02:41Z","packaged_by":"Docker"},{"slug":"mcp-awslabs-iam","name":"AWS IAM","description":"IAM user, role, group, and policy management.","category":"mcp","publisher":"docker","icon":"","icon_small":"","icon_url":"\/icon\/mcp-awslabs-iam?v=ed15a2adb349.6314dc26","readme":true,"page_url":"https:\/\/store.selfmade.work\/app\/mcp-awslabs-iam","first_party":false,"publisher_verified":true,"updated_at":1791851292,"image":{"state":"built","ref":"mcp\/iam-mcp-server@sha256:84e5e818de90fa9bf75a902240d0a6da080290b1d38a196d59278744215e90c5","digest":"sha256:84e5e818de90fa9bf75a902240d0a6da080290b1d38a196d59278744215e90c5"},"version":"ed15a2adb349d8d351aef341255b5a20ac9cd877","state":"listed","versions":[],"repo_url":"https:\/\/github.com\/awslabs\/mcp\/tree\/636aca8e109b5559006044f035bb89c16e9e5410\/src\/iam-mcp-server","requires":{"render":false,"driver":"sysbox","min_plan":null},"categories":["security","mcp-servers"],"categories_source":"derived","kind":"mcp","installs":0,"pull_count":13961,"tools_count":29,"known_publisher":false,"remote":false,"config_kind":"secrets","created_at":1762452161,"mcp":{"key":"awslabs-iam","type":"server","transport":"stdio","image":"mcp\/iam-mcp-server","digest":"sha256:84e5e818de90fa9bf75a902240d0a6da080290b1d38a196d59278744215e90c5","remote_url":"","tools":[{"name":"add_user_to_group","description":"Add a user to an IAM group."},{"name":"attach_group_policy","description":"Attach a managed policy to an IAM group."},{"name":"attach_user_policy","description":"Attach a managed policy to an IAM user."},{"name":"create_access_key","description":"Create a new access key for an IAM user."},{"name":"create_group","description":"Create a new IAM group.\n\nThis tool creates a new IAM group in your AWS account. The group will be created\nwithout any permissions by default - you'll need to attach policies separately.\n\n## Security Best Practices:\n- Use descriptive group names that indicate the group's purpose\n- Set appropriate paths for organizational structure\n- Follow the principle of least privilege when assigning permissions later"},{"name":"create_role","description":"Create a new IAM role."},{"name":"create_user","description":"Create a new IAM user.\n\nThis tool creates a new IAM user in your AWS account. The user will be created\nwithout any permissions by default - you'll need to attach policies separately.\n\n## Security Best Practices:\n- Use descriptive user names that indicate the user's role or purpose\n- Set appropriate paths for organizational structure\n- Consider using permissions boundaries to limit maximum permissions\n- Follow the principle of least privilege when assigning permissions later"},{"name":"delete_access_key","description":"Delete an access key for an IAM user."},{"name":"delete_group","description":"Delete an IAM group."},{"name":"delete_role_policy","description":"Delete an inline policy from an IAM role.\n\nThis tool removes an inline policy from the specified role. The policy document\nwill be permanently deleted and cannot be recovered."},{"name":"delete_user","description":"Delete an IAM user."},{"name":"delete_user_policy","description":"Delete an inline policy from an IAM user.\n\nThis tool removes an inline policy from the specified user. The policy document\nwill be permanently deleted and cannot be recovered."},{"name":"detach_group_policy","description":"Detach a managed policy from an IAM group."},{"name":"detach_user_policy","description":"Detach a managed policy from an IAM user."},{"name":"get_group","description":"Get detailed information about a specific IAM group.\n\nThis tool retrieves comprehensive information about an IAM group including\ngroup members, attached policies, and inline policies. Use this to get\na complete picture of a group's configuration and membership.\n\n## Usage Tips:\n- Use this after list_groups to get detailed information about specific groups\n- Review attached policies to understand group permissions\n- Check group members to see who has these permissions"},{"name":"get_managed_policy_document","description":"Retrieve the policy document for a managed policy.\n\nThis tool retrieves the policy document for a specific managed policy version.\nUse this to examine the actual permissions and wildcards in managed policies."},{"name":"get_role_policy","description":"Retrieve an inline policy for an IAM role.\n\nThis tool retrieves the policy document for a specific inline policy attached to a role."},{"name":"get_user","description":"Get detailed information about a specific IAM user.\n\nThis tool retrieves comprehensive information about an IAM user including\nattached policies, group memberships, and access keys. Use this to get\na complete picture of a user's permissions and configuration.\n\n## Usage Tips:\n- Use this after list_users to get detailed information about specific users\n- Review attached policies to understand user permissions\n- Check access keys to identify potential security issues"},{"name":"get_user_policy","description":"Retrieve an inline policy for an IAM user.\n\nThis tool retrieves the policy document for a specific inline policy attached to a user."},{"name":"list_groups","description":"List IAM groups in the account.\n\nThis tool retrieves a list of IAM groups from your AWS account with optional filtering.\nUse this to get an overview of all groups or find specific groups by path prefix.\n\n## Usage Tips:\n- Use path_prefix to filter groups by organizational structure\n- Adjust max_items to control response size for large accounts\n- Results may be paginated for accounts with many groups"},{"name":"list_policies","description":"List IAM policies in the account."},{"name":"list_role_policies","description":"List all inline policies for an IAM role.\n\nThis tool retrieves the names of all inline policies attached to the specified role."},{"name":"list_roles","description":"List IAM roles in the account."},{"name":"list_user_policies","description":"List all inline policies for an IAM user.\n\nThis tool retrieves the names of all inline policies attached to the specified user."},{"name":"list_users","description":"List IAM users in the account.\n\nThis tool retrieves a list of IAM users from your AWS account with optional filtering.\nUse this to get an overview of all users or find specific users by path prefix.\n\n## Usage Tips:\n- Use path_prefix to filter users by organizational structure\n- Adjust max_items to control response size for large accounts\n- Results may be paginated for accounts with many users"},{"name":"put_role_policy","description":"Create or update an inline policy for an IAM role.\n\nThis tool creates a new inline policy or updates an existing one for the specified role.\nInline policies are directly embedded in a single user, role, or group and have a one-to-one\nrelationship with the identity."},{"name":"put_user_policy","description":"Create or update an inline policy for an IAM user.\n\nThis tool creates a new inline policy or updates an existing one for the specified user.\nInline policies are directly embedded in a single user, role, or group and have a one-to-one\nrelationship with the identity.\n\n## Security Best Practices:\n- Follow the principle of least privilege when creating policies\n- Use managed policies for common permissions that can be reused\n- Regularly review and audit inline policies\n- Test policies using simulate_principal_policy before applying"},{"name":"remove_user_from_group","description":"Remove a user from an IAM group."},{"name":"simulate_principal_policy","description":"Simulate IAM policy evaluation for a principal."}],"tools_count":29,"secrets":[{"name":"awslabs-iam.aws_secret_access_key","env":"AWS_SECRET_ACCESS_KEY","description":"","example":"your-aws-secret-access-key"}],"env":[{"name":"AWS_REGION","value":"{{awslabs-iam.aws_region}}"},{"name":"AWS_PROFILE","value":"{{awslabs-iam.aws_profile}}"},{"name":"AWS_ACCESS_KEY_ID","value":"{{awslabs-iam.aws_access_key_id}}"}],"config_schema":[{"name":"awslabs-iam","description":"Configure AWS credentials for IAM access","type":"object","properties":{"aws_region":{"type":"string"},"aws_profile":{"type":"string"},"aws_access_key_id":{"type":"string"}}}],"oauth":[],"zero_config":false,"needs_setup":true,"tools_after_setup":false,"network":true,"network_source":"catalog","installable":true,"install_reason":"","server_name":"awslabs-iam","server_entry":{"command":"docker","args":["run","-i","--rm","--init","--security-opt","no-new-privileges","-e","AWS_ACCESS_KEY_ID","-e","AWS_PROFILE","-e","AWS_REGION","-e","AWS_SECRET_ACCESS_KEY","mcp\/iam-mcp-server@sha256:84e5e818de90fa9bf75a902240d0a6da080290b1d38a196d59278744215e90c5"],"env":{"AWS_ACCESS_KEY_ID":"{secret:awslabs-iam.aws_access_key_id}","AWS_PROFILE":"{secret:awslabs-iam.aws_profile}","AWS_REGION":"{secret:awslabs-iam.aws_region}","AWS_SECRET_ACCESS_KEY":"{secret:awslabs-iam.aws_secret_access_key}"},"x-labs":{"title":"AWS IAM","description":"IAM user, role, group, and policy management.","icon":"https:\/\/avatars.githubusercontent.com\/u\/3299148?v=4","timeout":30,"tools":[{"name":"add_user_to_group","description":"Add a user to an IAM group."},{"name":"attach_group_policy","description":"Attach a managed policy to an IAM group."},{"name":"attach_user_policy","description":"Attach a managed policy to an IAM user."},{"name":"create_access_key","description":"Create a new access key for an IAM user."},{"name":"create_group","description":"Create a new IAM group.\n\nThis tool creates a new IAM group in your AWS account. The group will be created\nwithout any permissions by default - you'll need to attach policies separately.\n\n## Security Best Practices:\n- Use descriptive group names that indicate the group's purpose\n- Set appropriate paths for organizational structure\n- Follow the principle of least privilege when assigning permissions later"},{"name":"create_role","description":"Create a new IAM role."},{"name":"create_user","description":"Create a new IAM user.\n\nThis tool creates a new IAM user in your AWS account. The user will be created\nwithout any permissions by default - you'll need to attach policies separately.\n\n## Security Best Practices:\n- Use descriptive user names that indicate the user's role or purpose\n- Set appropriate paths for organizational structure\n- Consider using permissions boundaries to limit maximum permissions\n- Follow the principle of least privilege when assigning permissions later"},{"name":"delete_access_key","description":"Delete an access key for an IAM user."},{"name":"delete_group","description":"Delete an IAM group."},{"name":"delete_role_policy","description":"Delete an inline policy from an IAM role.\n\nThis tool removes an inline policy from the specified role. The policy document\nwill be permanently deleted and cannot be recovered."},{"name":"delete_user","description":"Delete an IAM user."},{"name":"delete_user_policy","description":"Delete an inline policy from an IAM user.\n\nThis tool removes an inline policy from the specified user. The policy document\nwill be permanently deleted and cannot be recovered."},{"name":"detach_group_policy","description":"Detach a managed policy from an IAM group."},{"name":"detach_user_policy","description":"Detach a managed policy from an IAM user."},{"name":"get_group","description":"Get detailed information about a specific IAM group.\n\nThis tool retrieves comprehensive information about an IAM group including\ngroup members, attached policies, and inline policies. Use this to get\na complete picture of a group's configuration and membership.\n\n## Usage Tips:\n- Use this after list_groups to get detailed information about specific groups\n- Review attached policies to understand group permissions\n- Check group members to see who has these permissions"},{"name":"get_managed_policy_document","description":"Retrieve the policy document for a managed policy.\n\nThis tool retrieves the policy document for a specific managed policy version.\nUse this to examine the actual permissions and wildcards in managed policies."},{"name":"get_role_policy","description":"Retrieve an inline policy for an IAM role.\n\nThis tool retrieves the policy document for a specific inline policy attached to a role."},{"name":"get_user","description":"Get detailed information about a specific IAM user.\n\nThis tool retrieves comprehensive information about an IAM user including\nattached policies, group memberships, and access keys. Use this to get\na complete picture of a user's permissions and configuration.\n\n## Usage Tips:\n- Use this after list_users to get detailed information about specific users\n- Review attached policies to understand user permissions\n- Check access keys to identify potential security issues"},{"name":"get_user_policy","description":"Retrieve an inline policy for an IAM user.\n\nThis tool retrieves the policy document for a specific inline policy attached to a user."},{"name":"list_groups","description":"List IAM groups in the account.\n\nThis tool retrieves a list of IAM groups from your AWS account with optional filtering.\nUse this to get an overview of all groups or find specific groups by path prefix.\n\n## Usage Tips:\n- Use path_prefix to filter groups by organizational structure\n- Adjust max_items to control response size for large accounts\n- Results may be paginated for accounts with many groups"},{"name":"list_policies","description":"List IAM policies in the account."},{"name":"list_role_policies","description":"List all inline policies for an IAM role.\n\nThis tool retrieves the names of all inline policies attached to the specified role."},{"name":"list_roles","description":"List IAM roles in the account."},{"name":"list_user_policies","description":"List all inline policies for an IAM user.\n\nThis tool retrieves the names of all inline policies attached to the specified user."},{"name":"list_users","description":"List IAM users in the account.\n\nThis tool retrieves a list of IAM users from your AWS account with optional filtering.\nUse this to get an overview of all users or find specific users by path prefix.\n\n## Usage Tips:\n- Use path_prefix to filter users by organizational structure\n- Adjust max_items to control response size for large accounts\n- Results may be paginated for accounts with many users"},{"name":"put_role_policy","description":"Create or update an inline policy for an IAM role.\n\nThis tool creates a new inline policy or updates an existing one for the specified role.\nInline policies are directly embedded in a single user, role, or group and have a one-to-one\nrelationship with the identity."},{"name":"put_user_policy","description":"Create or update an inline policy for an IAM user.\n\nThis tool creates a new inline policy or updates an existing one for the specified user.\nInline policies are directly embedded in a single user, role, or group and have a one-to-one\nrelationship with the identity.\n\n## Security Best Practices:\n- Follow the principle of least privilege when creating policies\n- Use managed policies for common permissions that can be reused\n- Regularly review and audit inline policies\n- Test policies using simulate"},{"name":"remove_user_from_group","description":"Remove a user from an IAM group."},{"name":"simulate_principal_policy","description":"Simulate IAM policy evaluation for a principal."}],"config":[{"name":"awslabs-iam.aws_secret_access_key","description":"","type":"string","secret":true,"required":true},{"name":"awslabs-iam.aws_region","description":"","type":"string","secret":false,"required":true},{"name":"awslabs-iam.aws_profile","description":"","type":"string","secret":false,"required":true},{"name":"awslabs-iam.aws_access_key_id","description":"","type":"string","secret":false,"required":true}],"needs_setup":true,"network":true,"prepull":["mcp\/iam-mcp-server@sha256:84e5e818de90fa9bf75a902240d0a6da080290b1d38a196d59278744215e90c5"]}},"settings":[{"name":"awslabs-iam.aws_region","description":"","type":"string","required":true,"example":"","default":""},{"name":"awslabs-iam.aws_profile","description":"","type":"string","required":true,"example":"","default":""},{"name":"awslabs-iam.aws_access_key_id","description":"","type":"string","required":true,"example":"","default":""}],"docs_url":"https:\/\/desktop.docker.com\/mcp\/catalog\/v3\/readme\/awslabs-iam.md"},"source_kind":"docker-mcp-catalog","license":"Apache License 2.0","upstream":"https:\/\/github.com\/awslabs\/mcp","owner":"awslabs","tags":["aws"],"popularity":{"pulls":13961,"stars":0,"github_stars":9769},"readme_url":"https:\/\/desktop.docker.com\/mcp\/catalog\/v3\/readme\/awslabs-iam.md","date_added":"2025-11-06T18:02:41Z","packaged_by":"Docker"},{"slug":"mcp-aws-iot-sitewise","name":"AWS IoT SiteWise","description":"Industrial IoT asset 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aggregated values for multiple asset properties."},{"name":"batch_get_asset_property_value","description":"Get the current values for multiple asset properties."},{"name":"batch_get_asset_property_value_hist","description":"Get the historical values for multiple asset properties."},{"name":"convert_multiple_timestamps","description":"Convert multiple Unix epoch timestamps to human-readable format.\n\nThis tool converts multiple timestamps at once, useful for processing\nAPI responses that contain several timestamp fields."},{"name":"convert_unix_timestamp","description":"Convert Unix epoch timestamp to human-readable format.\n\nThis tool provides accurate timestamp conversion to prevent AI agents from\nmaking conversion errors when interpreting Unix timestamps from API responses."},{"name":"create_bulk_import_schema","description":"Construct and validate a bulk import schema."},{"name":"create_timestamp_range","description":"Create a formatted timestamp range from start and end timestamps.\n\nThis tool formats a range of timestamps for display, useful for showing\ntraining periods, evaluation periods, or other time ranges."},{"name":"describe_action","description":"Describe an action in AWS IoT SiteWise.\n\nRetrieves detailed information about a specific action, including\nits definition, payload, target resource, execution time, and resolution details."},{"name":"describe_asset","description":"Retrieve information about an asset."},{"name":"describe_asset_model","description":"Retrieve information about an asset model."},{"name":"describe_bulk_import_job","description":"Get detailed information about a specific bulk import job in AWS IoT SiteWise.\n\nThis function retrieves comprehensive details about a bulk import job including its configuration,\nstatus, progress, error information, and execution statistics."},{"name":"describe_computation_model","description":"Describe a computation model in AWS IoT SiteWise.\n\nRetrieves detailed information about a specific computation model, including\nits configuration, data bindings, status, and metadata."},{"name":"describe_computation_model_execution_summary","description":"Describe a computation model execution summary in AWS IoT SiteWise.\n\nThis tool intelligently determines whether to use resolve parameters based on the\ncomputation model configuration:\n- For Asset Model Level Configuration: Uses resolve parameters if provided to get execution summary for specific assets\n- For Asset Level Configuration: Ignores resolve parameters as they're not needed (already tied to specific assets)\n\n**Smart Optimization**: If you know the configuration type, provide it via the `configuration_type`\nparameter to avoid an additional API call to describe_computation_model for type detection."},{"name":"describe_default_encryption_config","description":"Retrieve information about the default encryption configuration for your AWS account."},{"name":"describe_execution","description":"Describe an execution in AWS IoT SiteWise.\n\nRetrieves detailed information about a specific execution, including execution details,\nstatus, timestamps, target resource information, and execution results. This provides\ncomprehensive information about the execution process."},{"name":"describe_gateway","description":"Retrieve information about a gateway."},{"name":"describe_gateway_capability_config","description":"Retrieve information about a gateway capability configuration."},{"name":"describe_logging_options","description":"Retrieve the current AWS IoT SiteWise logging options."},{"name":"describe_storage_configuration","description":"Retrieve information about the storage configuration for your AWS account."},{"name":"describe_time_series","description":"Retrieve information about a time series (data stream)."},{"name":"execute_query","description":"Execute comprehensive SQL queries against AWS IoT SiteWise data using the executeQuery API.\n\nThe AWS IoT SiteWise query language supports SQL capabilities including:\n- Views: asset, asset_property, raw_time_series, latest_value_time_series, precomputed_aggregates\n- SQL clauses: SELECT, FROM, WHERE, GROUP BY, ORDER BY, HAVING, LIMIT\n- Functions: Aggregation, date\/time, string, mathematical, conditional\n- Operators: Comparison, logical, arithmetic, pattern matching (LIKE)\n- JOIN operations: JOIN, LEFT JOIN,\n UNION (prefer implicit joins for performance)\n\nAvailable Views and Schema (From Official AWS Documentation):\n\nASSET VIEW: Contains information about the asset and model derivation\n- asset_id (string), asset_name (string), asset_description (string)\n- asset_model_id (string), parent_asset_id (string),\n asset_external_id (string)\n- asset_external_model_id (string), hierarchy_id (string)\n\nASSET_PROPERTY VIEW: Contains information about the asset property's structure\n- asse"},{"name":"get_asset_property_aggregates","description":"Get aggregated values for an asset property."},{"name":"get_asset_property_value","description":"Get the current value for the given asset property."},{"name":"get_asset_property_value_history","description":"Get the history of an asset property's values."},{"name":"get_current_timestamp","description":"Get the current Unix timestamp and formatted time.\n\nThis tool provides the current timestamp in both Unix epoch format\nand human-readable format, useful for reference when working with timestamps.\n\nReturns:\n Dictionary containing current timestamp information"},{"name":"get_interpl_asset_property_values","description":"Get interpolated values for an asset property for a specified time interval."},{"name":"get_metadata_transfer_job","description":"Get details of a metadata transfer job."},{"name":"get_sitewise_server_mode","description":"Get the current SiteWise server mode and available capabilities.\n\nThis tool helps users understand what operations are available\nand provides guidance for enabling write operations if needed.\n\nReturns:\n Dictionary containing server mode information and capabilities"},{"name":"list_actions","description":"List actions for a specific target resource in AWS IoT SiteWise.\n\nRetrieves a paginated list of actions associated with a specific target resource.\nYou can filter by resolved resource and control pagination."},{"name":"list_asset_model_properties","description":"Retrieve a paginated list of properties associated with an asset model."},{"name":"list_asset_models","description":"Retrieve a paginated list of summaries for all asset models."},{"name":"list_assets","description":"Retrieve a paginated list of asset summaries."},{"name":"list_associated_assets","description":"Retrieve a paginated list of associated assets."},{"name":"list_bulk_import_jobs","description":"List bulk import jobs in AWS IoT SiteWise.\n\nThis function retrieves a paginated list of bulk import job summaries with optional filtering\nby job status. 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This provides\ncomprehensive information about the execution process."},{"name":"describe_gateway","description":"Retrieve information about a gateway."},{"name":"describe_gateway_capability_config","description":"Retrieve information about a gateway capability configuration."},{"name":"describe_logging_options","description":"Retrieve the current AWS IoT SiteWise logging options."},{"name":"describe_storage_configuration","description":"Retrieve information about the storage configuration for your AWS account."},{"name":"describe_time_series","description":"Retrieve information about a time series (data stream)."},{"name":"execute_query","description":"Execute comprehensive SQL queries against AWS IoT SiteWise data using the executeQuery API.\n\nThe AWS IoT SiteWise query language supports SQL capabilities including:\n- Views: asset, asset_property, raw_time_series, latest_value_time_series, precomputed_aggregates\n- SQL clauses: SELECT, FROM, WHERE, GROUP BY, ORDER BY, HAVING, LIMIT\n- Functions: Aggregation, date\/time, string, mathematical, conditional\n- Operators: Comparison, logical, arithmetic, pattern matching (LIKE)\n- JOIN operations"},{"name":"get_asset_property_aggregates","description":"Get aggregated values for an asset property."},{"name":"get_asset_property_value","description":"Get the current value for the given asset property."},{"name":"get_asset_property_value_history","description":"Get the history of an asset property's values."},{"name":"get_current_timestamp","description":"Get the current Unix timestamp and formatted time.\n\nThis tool provides the current timestamp in both Unix epoch format\nand human-readable format, useful for reference when working with timestamps.\n\nReturns:\n Dictionary containing current timestamp information"},{"name":"get_interpl_asset_property_values","description":"Get interpolated values for an asset property for a specified time interval."},{"name":"get_metadata_transfer_job","description":"Get details of a metadata transfer job."},{"name":"get_sitewise_server_mode","description":"Get the current SiteWise server mode and available capabilities.\n\nThis tool helps users understand what operations are available\nand provides guidance for enabling write operations if needed.\n\nReturns:\n Dictionary containing server mode information and capabilities"},{"name":"list_actions","description":"List actions for a specific target resource in AWS IoT SiteWise.\n\nRetrieves a paginated list of actions associated with a specific target resource.\nYou can filter by resolved resource and control pagination."},{"name":"list_asset_model_properties","description":"Retrieve a paginated list of properties associated with an asset model."},{"name":"list_asset_models","description":"Retrieve a paginated list of summaries for all asset models."},{"name":"list_assets","description":"Retrieve a paginated list of asset summaries."},{"name":"list_associated_assets","description":"Retrieve a paginated list of associated assets."},{"name":"list_bulk_import_jobs","description":"List bulk import jobs in AWS IoT SiteWise.\n\nThis function retrieves a paginated list of bulk import job summaries with optional filtering\nby job status. Each job summary includes basic information like job ID, name, status, and timestamps."},{"name":"list_computation_model_data_binding_usages","description":"Find computation models that use a given resource in data binding.\n\nThis API helps you find computation models which are bound to a given resource:\n- Asset model (fetch all computation models where any of this asset model's properties are bound)\n- Asset (fetch all computation models where any of this asset's properties are bound)\n- Asset model property (fetch all computation models where this property is bound)\n- Asset property (fetch all computation models where this property is bound)"},{"name":"list_computation_model_resolve_to_resources","description":"List computation model resolve to resources in AWS IoT SiteWise.\n\nRetrieves a paginated list of resources that a computation model resolves to.\nThis shows the specific assets or other resources that are associated with\nthe computation model through resolve-to relationships."},{"name":"list_computation_models","description":"List computation models in AWS IoT SiteWise.\n\nRetrieves a paginated list of computation models in your AWS account.\nYou can filter by computation model type and control pagination."},{"name":"list_executions","description":"List executions for a specific target resource in AWS IoT SiteWise.\n\nRetrieves a paginated list of executions that occurred after performing execute actions\non the specified target resource. This shows the progress status, error information,\nand execution details for training actions, inference schedules, and other action types."},{"name":"list_gateways","description":"Retrieve a paginated list of gateways."},{"name":"list_metadata_transfer_jobs","description":"List metadata transfer jobs."},{"name":"list_time_series","description":"Retrieve a paginated list of time series (data 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an image using Amazon Nova Canvas with text prompt.\n\nThis tool uses Amazon Nova Canvas to generate images based on a text prompt.\nThe generated image will be saved to a file and the path will be returned.\n\nIMPORTANT FOR ASSISTANT: Always send the current workspace directory when calling this tool!\nThe workspace_dir parameter should be set to the directory where the user is currently working\nso that images are saved to a location accessible to the user.\n\n## Prompt Best Practices\n\nAn effective prompt often includes short descriptions of:\n1. The subject\n2. The environment\n3. (optional) The position or pose of the subject\n4. (optional) Lighting description\n5. (optional) Camera position\/framing\n6. (optional) The visual style or medium (\"photo\", \"illustration\", \"painting\", etc.)\n\nDo not use negation words like \"no\", \"not\", \"without\" in your prompt. Instead, use the\nnegative_prompt parameter to specify what you don't want in the image.\n\nYou should always include \"people, anatomy, han"},{"name":"generate_image_with_colors","description":"Generate an image using Amazon Nova Canvas with color guidance.\n\nThis tool uses Amazon Nova Canvas to generate images based on a text prompt and color palette.\nThe generated image will be saved to a file and the path will be returned.\n\nIMPORTANT FOR Assistant: Always send the current workspace directory when calling this tool!\nThe workspace_dir parameter should be set to the directory where the user is currently working\nso that images are saved to a location accessible to the user.\n\n## Prompt Best Practices\n\nAn effective prompt often includes short descriptions of:\n1. The subject\n2. The environment\n3. (optional) The position or pose of the subject\n4. (optional) Lighting description\n5. (optional) Camera position\/framing\n6. (optional) The visual style or medium (\"photo\", \"illustration\", \"painting\", etc.)\n\nDo not use negation words like \"no\", \"not\", \"without\" in your prompt. Instead, use the\nnegative_prompt parameter to specify what you don't want in the image.\n\n## Example Colors\n\n- [\"#FF"}],"tools_count":2,"secrets":[{"name":"awslabs-nova-canvas.aws_secret_access_key","env":"AWS_SECRET_ACCESS_KEY","description":"","example":"your-aws-secret-access-key"},{"name":"awslabs-nova-canvas.aws_session_token","env":"AWS_SESSION_TOKEN","description":"","example":"your-aws-session-token"}],"env":[{"name":"AWS_REGION","value":"{{awslabs-nova-canvas.aws_region}}"},{"name":"AWS_PROFILE","value":"{{awslabs-nova-canvas.aws_profile}}"},{"name":"AWS_ACCESS_KEY_ID","value":"{{awslabs-nova-canvas.aws_access_key_id}}"}],"config_schema":[{"name":"awslabs-nova-canvas","description":"Configure AWS credentials for Nova Canvas 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Labs Nova Canvas","description":"AI image generation using Amazon Nova Canvas.","icon":"https:\/\/avatars.githubusercontent.com\/u\/3299148?v=4","timeout":30,"tools":[{"name":"generate_image","description":"Generate an image using Amazon Nova Canvas with text prompt.\n\nThis tool uses Amazon Nova Canvas to generate images based on a text prompt.\nThe generated image will be saved to a file and the path will be returned.\n\nIMPORTANT FOR ASSISTANT: Always send the current workspace directory when calling this tool!\nThe workspace_dir parameter should be set to the directory where the user is currently working\nso that images are saved to a location accessible to the user.\n\n## Prompt Best Practices\n\nAn effe"},{"name":"generate_image_with_colors","description":"Generate an image using Amazon Nova Canvas with color guidance.\n\nThis tool uses Amazon Nova Canvas to generate images based on a text prompt and color palette.\nThe generated image will be saved to a file and the path will be returned.\n\nIMPORTANT FOR Assistant: Always send the current workspace directory when calling this tool!\nThe workspace_dir parameter should be set to the directory where the user is currently working\nso that images are saved to a location accessible to the user.\n\n## Prompt Be"}],"config":[{"name":"awslabs-nova-canvas.aws_secret_access_key","description":"","type":"string","secret":true,"required":true},{"name":"awslabs-nova-canvas.aws_session_token","description":"","type":"string","secret":true,"required":true},{"name":"awslabs-nova-canvas.aws_region","description":"","type":"string","secret":false,"required":true},{"name":"awslabs-nova-canvas.aws_profile","description":"","type":"string","secret":false,"required":true},{"name":"awslabs-nova-canvas.aws_access_key_id","description":"","type":"string","secret":false,"required":true}],"needs_setup":true,"network":true,"prepull":["mcp\/nova-canvas-mcp-server@sha256:5582496accaa4639f78ef18cf49c09db3d05b581e454e838147f58d3b5f19f07"]}},"settings":[{"name":"awslabs-nova-canvas.aws_region","description":"","type":"string","required":true,"example":"","default":""},{"name":"awslabs-nova-canvas.aws_profile","description":"","type":"string","required":true,"example":"","default":""},{"name":"awslabs-nova-canvas.aws_access_key_id","description":"","type":"string","required":true,"example":"","default":""}],"docs_url":"https:\/\/desktop.docker.com\/mcp\/catalog\/v3\/readme\/awslabs-nova-canvas.md"},"source_kind":"docker-mcp-catalog","license":"Apache License 2.0","upstream":"https:\/\/github.com\/awslabs\/mcp","owner":"awslabs","tags":["aws"],"popularity":{"pulls":11084,"stars":0,"github_stars":9769},"readme_url":"https:\/\/desktop.docker.com\/mcp\/catalog\/v3\/readme\/awslabs-nova-canvas.md","date_added":"2025-11-06T18:02:41Z","packaged_by":"Docker"},{"slug":"mcp-aws-pricing","name":"AWS Pricing","description":"AWS service pricing and cost estimates.","category":"mcp","publisher":"docker","icon":"","icon_small":"","icon_url":"\/icon\/mcp-aws-pricing?v=92e8060b90dc.6314dc26","readme":true,"page_url":"https:\/\/store.selfmade.work\/app\/mcp-aws-pricing","first_party":false,"publisher_verified":true,"updated_at":1791851273,"image":{"state":"built","ref":"mcp\/aws-pricing-mcp-server@sha256:18d41a828aa7453ad327070e55433709191353218af1263d912240e60292d5c3","digest":"sha256:18d41a828aa7453ad327070e55433709191353218af1263d912240e60292d5c3"},"version":"92e8060b90dc49ede5d5ad02e328b8a5e420c384","state":"listed","versions":[],"repo_url":"https:\/\/github.com\/awslabs\/mcp\/tree\/636aca8e109b5559006044f035bb89c16e9e5410\/src\/aws-pricing-mcp-server","requires":{"render":false,"driver":"sysbox","min_plan":null},"categories":["finance","mcp-servers"],"categories_source":"derived","kind":"mcp","installs":0,"pull_count":17167,"tools_count":9,"known_publisher":false,"remote":false,"config_kind":"secrets","created_at":1762452161,"mcp":{"key":"aws-pricing","type":"server","transport":"stdio","image":"mcp\/aws-pricing-mcp-server","digest":"sha256:18d41a828aa7453ad327070e55433709191353218af1263d912240e60292d5c3","remote_url":"","tools":[{"name":"analyze_cdk_project","description":"Analyze a CDK project to identify AWS services used. This tool dynamically extracts service information from CDK constructs without relying on hardcoded service mappings."},{"name":"analyze_terraform_project","description":"Analyze a Terraform project to identify AWS services used. This tool dynamically extracts service information from Terraform resource declarations."},{"name":"generate_cost_report","description":"Generate a detailed cost analysis report based on pricing data for one or more AWS services.\n\nThis tool requires AWS pricing data and provides options for adding detailed cost information.\n\nIMPORTANT REQUIREMENTS:\n- ALWAYS include detailed unit pricing information (e.g., \"$0.0008 per 1K input tokens\")\n- ALWAYS show calculation breakdowns (unit price \u00d7 usage = total cost)\n- ALWAYS specify the pricing model (e.g., \"ON DEMAND\")\n- ALWAYS list all assumptions and exclusions explicitly\n\nOutput Format Options:\n- 'markdown' (default): Generates a well-formatted markdown report\n- 'csv': Generates a CSV format report with sections for service information, unit pricing, cost calculations, etc.\n\nExample usage:\n\n```json\n{\n \/\/ Required parameters\n \"pricing_data\": {\n \/\/ This should contain pricing data retrieved from get_pricing\n \"status\": \"success\",\n \"service_name\": \"bedrock\",\n \"data\": \"... pricing information ...\",\n \"message\": \"Retrieved pricing for bedrock from AWS Pricing url\"\n "},{"name":"get_bedrock_patterns","description":"Get architecture patterns for Amazon Bedrock applications, including component relationships and cost considerations"},{"name":"get_price_list_urls","description":"Get download URLs for bulk pricing data files.\n\n **PURPOSE:** Access complete AWS pricing datasets as downloadable files for historical analysis and bulk processing.\n\n **WORKFLOW:** Use this for historical pricing analysis or bulk data processing when current pricing from get_pricing() isn't sufficient.\n\n **PARAMETERS:**\n - Service code from get_pricing_service_codes() (e.g., 'AmazonEC2', 'AmazonS3')\n - AWS region (e.g., 'us-east-1', 'eu-west-1')\n - Optional: effective_date for historical pricing (default: current date)\n\n **RETURNS:** Dictionary with download URLs for different formats:\n - 'csv': Direct download URL for CSV format\n - 'json': Direct download URL for JSON format\n\n **USE CASES:**\n - Historical pricing analysis (get_pricing() only provides current pricing)\n - Bulk data processing without repeated API calls\n - Offline analysis of complete pricing datasets\n - Savings Plans analysis across services\n\n **FILE PROCESSING:**\n - CSV "},{"name":"get_pricing","description":"Get detailed pricing information from AWS Price List API with optional filters.\n\n **PARAMETERS:**\n - service_code (required): AWS service code (e.g., 'AmazonEC2', 'AmazonS3', 'AmazonES')\n - region (optional): AWS region string (e.g., 'us-east-1') OR list for multi-region comparison (e.g., ['us-east-1', 'eu-west-1']). Omit for global services like DataTransfer or CloudFront that don't have region-specific pricing.\n - filters (optional): List of filter dictionaries in format {'Field': str, 'Type': str, 'Value': str}\n - max_allowed_characters (optional): Response size limit in characters (default: 100,000, use -1 for unlimited)\n - output_options (optional): OutputOptions object for response transformation and size reduction\n - max_results (optional): Maximum number of results to return per page (default: 100, min: 1, max: 100)\n - next_token (optional): Pagination token from previous response to get next page of results\n\n **MANDATORY WORKFLOW - ALWAYS FOLLOW:**\n\n"},{"name":"get_pricing_attribute_values","description":"Get valid values for pricing filter attributes.\n\n **PURPOSE:** Discover what values are available for specific pricing filter attributes of an AWS service.\n\n **WORKFLOW:** Use this after get_pricing_service_attributes() to see valid values for each filter attribute.\n\n **PARAMETERS:**\n - Service code from get_pricing_service_codes() (e.g., 'AmazonEC2', 'AmazonRDS')\n - List of attribute names from get_pricing_service_attributes() (e.g., ['instanceType', 'location'])\n - filters (optional): Dictionary mapping attribute names to regex patterns (e.g., {'instanceType': 't3'})\n\n **RETURNS:** Dictionary mapping attribute names to their valid values. Filtered attributes return only matching values, unfiltered attributes return all values.\n\n **EXAMPLE RETURN:**\n ```\n {\n 'instanceType': ['t2.micro', 't3.medium', 'm5.large', ...],\n 'location': ['US East (N. Virginia)', 'EU (London)', ...]\n }\n ```\n\n **NEXT STEPS:** Use these values in get_pricing("},{"name":"get_pricing_service_attributes","description":"Get filterable attributes available for an AWS service in the Pricing API.\n\n **PURPOSE:** Discover what pricing dimensions (filters) are available for a specific AWS service.\n\n **WORKFLOW:** Use this after get_pricing_service_codes() to see what filters you can apply to narrow down pricing queries.\n\n **PARAMETERS:**\n - service_code: AWS service code from get_pricing_service_codes() (e.g., 'AmazonEC2', 'AmazonRDS')\n - filter (optional): Case-insensitive regex pattern to filter attribute names (e.g., \"instance\" matches \"instanceType\", \"instanceFamily\")\n\n **RETURNS:** List of attribute names (e.g., 'instanceType', 'location', 'storageClass') that can be used as filters.\n\n **NEXT STEPS:**\n - Use get_pricing_attribute_values() to see valid values for each attribute\n - Use these attributes in get_pricing() filters to get specific pricing data\n\n **EXAMPLE:** For 'AmazonRDS' you might get ['engineCode', 'instanceType', 'deploymentOption', 'location']."},{"name":"get_pricing_service_codes","description":"Get AWS service codes available in the Price List API.\n\n **PURPOSE:** Discover which AWS services have pricing information available in the AWS Price List API.\n\n **PARAMETERS:**\n - filter (optional): Case-insensitive regex pattern to filter service codes (e.g., \"bedrock\" matches \"AmazonBedrock\", \"AmazonBedrockService\")\n\n **WORKFLOW:** This is the starting point for any pricing query. Use this first to find the correct service code.\n\n **RETURNS:** List of service codes (e.g., 'AmazonEC2', 'AmazonS3', 'AWSLambda') that can be used with other pricing tools.\n\n **NEXT STEPS:**\n - Use get_pricing_service_attributes() to see what filters are available for a service\n - Use get_pricing() to get actual pricing data for a service\n\n **NOTE:** Service codes may differ from AWS console names (e.g., 'AmazonES' for OpenSearch, 'AWSLambda' for Lambda)."}],"tools_count":9,"secrets":[{"name":"aws-pricing.aws_secret_access_key","env":"AWS_SECRET_ACCESS_KEY","description":"","example":"your-aws-secret-access-key"},{"name":"aws-pricing.aws_session_token","env":"AWS_SESSION_TOKEN","description":"","example":"your-aws-session-token"}],"env":[{"name":"AWS_REGION","value":"{{aws-pricing.aws_region}}"},{"name":"AWS_PROFILE","value":"{{aws-pricing.aws_profile}}"},{"name":"AWS_ACCESS_KEY_ID","value":"{{aws-pricing.aws_access_key_id}}"}],"config_schema":[{"name":"aws-pricing","description":"Configure AWS credentials for pricing access","type":"object","properties":{"aws_region":{"type":"string"},"aws_profile":{"type":"string"},"aws_access_key_id":{"type":"string"}}}],"oauth":[],"zero_config":false,"needs_setup":true,"tools_after_setup":false,"network":true,"network_source":"catalog","installable":true,"install_reason":"","server_name":"aws-pricing","server_entry":{"command":"docker","args":["run","-i","--rm","--init","--security-opt","no-new-privileges","-e","AWS_ACCESS_KEY_ID","-e","AWS_PROFILE","-e","AWS_REGION","-e","AWS_SECRET_ACCESS_KEY","-e","AWS_SESSION_TOKEN","mcp\/aws-pricing-mcp-server@sha256:18d41a828aa7453ad327070e55433709191353218af1263d912240e60292d5c3"],"env":{"AWS_ACCESS_KEY_ID":"{secret:aws-pricing.aws_access_key_id}","AWS_PROFILE":"{secret:aws-pricing.aws_profile}","AWS_REGION":"{secret:aws-pricing.aws_region}","AWS_SECRET_ACCESS_KEY":"{secret:aws-pricing.aws_secret_access_key}","AWS_SESSION_TOKEN":"{secret:aws-pricing.aws_session_token}"},"x-labs":{"title":"AWS Pricing","description":"AWS service pricing and cost estimates.","icon":"https:\/\/avatars.githubusercontent.com\/u\/3299148?v=4","timeout":30,"tools":[{"name":"analyze_cdk_project","description":"Analyze a CDK project to identify AWS services used. This tool dynamically extracts service information from CDK constructs without relying on hardcoded service mappings."},{"name":"analyze_terraform_project","description":"Analyze a Terraform project to identify AWS services used. This tool dynamically extracts service information from Terraform resource declarations."},{"name":"generate_cost_report","description":"Generate a detailed cost analysis report based on pricing data for one or more AWS services.\n\nThis tool requires AWS pricing data and provides options for adding detailed cost information.\n\nIMPORTANT REQUIREMENTS:\n- ALWAYS include detailed unit pricing information (e.g., \"$0.0008 per 1K input tokens\")\n- ALWAYS show calculation breakdowns (unit price \u00d7 usage = total cost)\n- ALWAYS specify the pricing model (e.g., \"ON DEMAND\")\n- ALWAYS list all assumptions and exclusions explicitly\n\nOutput Format "},{"name":"get_bedrock_patterns","description":"Get architecture patterns for Amazon Bedrock applications, including component relationships and cost considerations"},{"name":"get_price_list_urls","description":"Get download URLs for bulk pricing data files.\n\n **PURPOSE:** Access complete AWS pricing datasets as downloadable files for historical analysis and bulk processing.\n\n **WORKFLOW:** Use this for historical pricing analysis or bulk data processing when current pricing from get_pricing() isn't sufficient.\n\n **PARAMETERS:**\n - Service code from get_pricing_service_codes() (e.g., 'AmazonEC2', 'AmazonS3')\n - AWS region (e.g., 'us-east-1', 'eu-west-1')\n - Optional: effective_date for"},{"name":"get_pricing","description":"Get detailed pricing information from AWS Price List API with optional filters.\n\n **PARAMETERS:**\n - service_code (required): AWS service code (e.g., 'AmazonEC2', 'AmazonS3', 'AmazonES')\n - region (optional): AWS region string (e.g., 'us-east-1') OR list for multi-region comparison (e.g., ['us-east-1', 'eu-west-1']). Omit for global services like DataTransfer or CloudFront that don't have region-specific pricing.\n - filters (optional): List of filter dictionaries in format {'Field': "},{"name":"get_pricing_attribute_values","description":"Get valid values for pricing filter attributes.\n\n **PURPOSE:** Discover what values are available for specific pricing filter attributes of an AWS service.\n\n **WORKFLOW:** Use this after get_pricing_service_attributes() to see valid values for each filter attribute.\n\n **PARAMETERS:**\n - Service code from get_pricing_service_codes() (e.g., 'AmazonEC2', 'AmazonRDS')\n - List of attribute names from get_pricing_service_attributes() (e.g., ['instanceType', 'location'])\n - filters (o"},{"name":"get_pricing_service_attributes","description":"Get filterable attributes available for an AWS service in the Pricing API.\n\n **PURPOSE:** Discover what pricing dimensions (filters) are available for a specific AWS service.\n\n **WORKFLOW:** Use this after get_pricing_service_codes() to see what filters you can apply to narrow down pricing queries.\n\n **PARAMETERS:**\n - service_code: AWS service code from get_pricing_service_codes() (e.g., 'AmazonEC2', 'AmazonRDS')\n - filter (optional): Case-insensitive regex pattern to filter attr"},{"name":"get_pricing_service_codes","description":"Get AWS service codes available in the Price List API.\n\n **PURPOSE:** Discover which AWS services have pricing information available in the AWS Price List API.\n\n **PARAMETERS:**\n - filter (optional): Case-insensitive regex pattern to filter service codes (e.g., \"bedrock\" matches \"AmazonBedrock\", \"AmazonBedrockService\")\n\n **WORKFLOW:** This is the starting point for any pricing query. Use this first to find the correct service code.\n\n **RETURNS:** List of service codes (e.g., 'Amaz"}],"config":[{"name":"aws-pricing.aws_secret_access_key","description":"","type":"string","secret":true,"required":true},{"name":"aws-pricing.aws_session_token","description":"","type":"string","secret":true,"required":true},{"name":"aws-pricing.aws_region","description":"","type":"string","secret":false,"required":true},{"name":"aws-pricing.aws_profile","description":"","type":"string","secret":false,"required":true},{"name":"aws-pricing.aws_access_key_id","description":"","type":"string","secret":false,"required":true}],"needs_setup":true,"network":true,"prepull":["mcp\/aws-pricing-mcp-server@sha256:18d41a828aa7453ad327070e55433709191353218af1263d912240e60292d5c3"]}},"settings":[{"name":"aws-pricing.aws_region","description":"","type":"string","required":true,"example":"","default":""},{"name":"aws-pricing.aws_profile","description":"","type":"string","required":true,"example":"","default":""},{"name":"aws-pricing.aws_access_key_id","description":"","type":"string","required":true,"example":"","default":""}],"docs_url":"https:\/\/desktop.docker.com\/mcp\/catalog\/v3\/readme\/aws-pricing.md"},"source_kind":"docker-mcp-catalog","license":"Apache License 2.0","upstream":"https:\/\/github.com\/awslabs\/mcp","owner":"awslabs","tags":["aws"],"popularity":{"pulls":17167,"stars":0,"github_stars":9769},"readme_url":"https:\/\/desktop.docker.com\/mcp\/catalog\/v3\/readme\/aws-pricing.md","date_added":"2025-11-06T18:02:41Z","packaged_by":"Docker"},{"slug":"mcp-awslabs-s3-tables","name":"AWS S3 Tables","description":"Manage S3 Tables for analytics.","category":"mcp","publisher":"docker","icon":"","icon_small":"","icon_url":"\/icon\/mcp-awslabs-s3-tables?v=cd0797197aee.6314dc26","readme":true,"page_url":"https:\/\/store.selfmade.work\/app\/mcp-awslabs-s3-tables","first_party":false,"publisher_verified":true,"updated_at":1791851298,"image":{"state":"built","ref":"mcp\/s3-tables-mcp-server@sha256:6a2cb111afe46b6bf9d8ecd63838641caa17a5059b2c8b5583ae5d8e7eec5b21","digest":"sha256:6a2cb111afe46b6bf9d8ecd63838641caa17a5059b2c8b5583ae5d8e7eec5b21"},"version":"cd0797197aee294c78fc1103da66b5dbe22c8d54","state":"listed","versions":[],"repo_url":"https:\/\/github.com\/awslabs\/mcp\/tree\/636aca8e109b5559006044f035bb89c16e9e5410\/src\/s3-tables-mcp-server","requires":{"render":false,"driver":"sysbox","min_plan":null},"categories":["analytics","mcp-servers"],"categories_source":"derived","kind":"mcp","installs":0,"pull_count":14049,"tools_count":16,"known_publisher":false,"remote":false,"config_kind":"secrets","created_at":1762452161,"mcp":{"key":"awslabs-s3-tables","type":"server","transport":"stdio","image":"mcp\/s3-tables-mcp-server","digest":"sha256:6a2cb111afe46b6bf9d8ecd63838641caa17a5059b2c8b5583ae5d8e7eec5b21","remote_url":"","tools":[{"name":"append_rows_to_table","description":"Append rows to an Iceberg table using PyIceberg\/Daft.\n\nThis tool appends data rows to an existing Iceberg table using the PyIceberg engine.\nThe rows parameter must be a list of dictionaries, each representing a row.\nCheck the schema of the table before appending rows.\n\nExample input values:\n warehouse: 'arn:aws:s3tables:::bucket\/'\n region: 'us-west-2'\n namespace: 'retail_data'\n table_name: 'customers'\n rows: [{\"customer_id\": 1, \"customer_name\": \"Alice\"}, ...]\n uri: 'https:\/\/s3tables.us-west-2.amazonaws.com\/iceberg'\n catalog_name: 's3tablescatalog'\n rest_signing_name: 's3tables'\n rest_sigv4_enabled: 'true'"},{"name":"create_namespace","description":"Create a new namespace in an S3 table bucket.\n\nCreates a namespace. A namespace is a logical grouping of tables within your S3 table bucket,\nwhich you can use to organize S3 tables.\n\nPermissions:\nYou must have the s3tables:CreateNamespace permission to use this operation."},{"name":"create_table","description":"Create a new S3 table in an S3 table bucket.\n\nCreates a new S3 table associated with the given S3 namespace in an S3 table bucket.\nThe S3 table can be configured with specific format and metadata settings. Metadata contains the schema of the table.\nDo not use the metadata parameter if the schema is unclear.\n\nSupported Iceberg Primitive Types:\n- boolean: True or false\n- int: 32-bit signed integers (can promote to long)\n- long: 64-bit signed integers\n- float: 32-bit IEEE 754 floating point (can promote to double)\n- double: 64-bit IEEE 754 floating point\n- decimal(P,S): Fixed-point decimal with precision P and scale S (precision must be 38 or less)\n- date: Calendar date without timezone or time\n- time: Time of day, microsecond precision, without date or timezone\n- timestamp: Timestamp, microsecond precision, without timezone (represents date and time regardless of zone)\n- timestamptz: Timestamp, microsecond precision, with timezone (stored as UTC)\n- string: Arbitrary-length character sequ"},{"name":"create_table_bucket","description":"Creates an S3 table bucket.\n\nPermissions:\nYou must have the s3tables:CreateTableBucket permission to use this operation."},{"name":"get_bucket_metadata_config","description":"Get the metadata table configuration for a regular general purpose S3 bucket.\n\nRetrieves the metadata table configuration for a regular general purpose bucket in s3. This configuration\ndetermines how metadata is stored and managed for the bucket.\nThe response includes:\n- S3 Table Bucket ARN\n- S3 Table ARN\n- S3 Table Name\n- S3 Table Namespace\n\nDescription:\nAmazon S3 Metadata accelerates data discovery by automatically capturing metadata for the objects in your general purpose buckets and storing it in read-only, fully managed Apache Iceberg tables that you can query. These read-only tables are called metadata tables. As objects are added to, updated, and removed from your general purpose buckets, S3 Metadata automatically refreshes the corresponding metadata tables to reflect the latest changes.\nBy default, S3 Metadata provides three types of metadata:\n- System-defined metadata, such as an object's creation time and storage class\n- Custom metadata, such as tags and user-defined metadata"},{"name":"get_maintenance_job_status","description":"Get the status of a maintenance job for a table.\n\nGets the status of a maintenance job for a table. For more information, see S3 Tables maintenance in the Amazon Simple Storage Service User Guide.\n\nPermissions:\nYou must have the s3tables:GetTableMaintenanceJobStatus permission to use this operation."},{"name":"get_table_maintenance_config","description":"Get details about the maintenance configuration of a table.\n\nGets details about the maintenance configuration of a table. For more information, see S3 Tables maintenance in the Amazon Simple Storage Service User Guide.\n\nPermissions:\nYou must have the s3tables:GetTableMaintenanceConfiguration permission to use this operation."},{"name":"get_table_metadata_location","description":"Get the location of the S3 table metadata.\n\nGets the S3 URI location of the table metadata, which contains the schema and other\ntable configuration information.\n\nPermissions:\nYou must have the s3tables:GetTableMetadataLocation permission to use this operation."},{"name":"import_csv_to_table","description":"Import data from a CSV file into an S3 table.\n\nThis tool reads data from a CSV file stored in S3 and imports it into an S3 table.\nIf the table doesn't exist, it will be created with a schema inferred from the CSV file.\nIf the table exists, the CSV file schema must be compatible with the table's schema.\nThe tool will validate the schema before attempting to import the data.\nIf preserve_case is True, the column names will not be converted to snake_case. Otherwise, the column names will be converted to snake_case.\n\nReturns error dictionary with status and error message if:\n - URL is not a valid S3 URL\n - File is not a CSV file\n - File cannot be accessed\n - Table does not exist\n - CSV headers don't match table schema\n - Any other error occurs\n\nExample input values:\n warehouse: 'arn:aws:s3tables:::bucket\/'\n region: 'us-west-2'\n namespace: 'retail_data'\n table_name: 'customers'\n s3_url: 's3:\/\/bucket-name\/path\/to\/file.csv'\n ur"},{"name":"import_parquet_to_table","description":"Import data from a Parquet file into an existing S3 table.\n\nThis tool reads data from a Parquet file stored in S3 and imports it into an existing S3 table.\nThe table must already exist. The Parquet file schema must be compatible with the table's schema.\nThe tool will validate the schema before attempting to import the data.\nIf preserve_case is True, the column names will not be converted to snake_case. Otherwise, the column names will be converted to snake_case.\n\nReturns error dictionary with status and error message if:\n - URL is not a valid S3 URL\n - File is not a Parquet file\n - File cannot be accessed\n - Table does not exist\n - Parquet schema is incompatible with existing table schema\n - Any other error occurs\n\nReturns success dictionary with:\n - status: 'success'\n - message: Success message with row count\n - rows_processed: Number of rows imported\n - file_processed: Name of the processed file\n\nExample input values:\n warehouse: 'arn:aws:s3tables:::bucket\/'\n region: 'us-west-2'\n namespace: 'retail_data'\n query: 'SELECT * FROM customers LIMIT 10'\n uri: 'https:\/\/s3tables.us-west-2.amazonaws.com\/iceberg'\n catalog_name: 's3tablescatalog'\n rest_signing_name: 's3tables'\n rest_sigv4_enabled: 'true'"},{"name":"rename_table","description":"Rename an S3 table or move it to a different S3 namespace.\n\nRenames an S3 table or moves it to a different S3 namespace within the same S3 table bucket.\nThis operation maintains the table's data and configuration while updating its location.\n\nPermissions:\nYou must have the s3tables:RenameTable permission to use this operation."},{"name":"update_table_metadata_location","description":"Update the metadata location for an S3 table.\n\nUpdates the metadata location for an S3 table. The metadata location of an S3 table must be an S3 URI that begins with the S3 table's warehouse location.\nThe metadata location for an Apache Iceberg S3 table must end with .metadata.json, or if the metadata file is Gzip-compressed, .metadata.json.gz.\n\nPermissions:\nYou must have the s3tables:UpdateTableMetadataLocation permission to use this operation."}],"tools_count":16,"secrets":[{"name":"awslabs-s3-tables.aws_secret_access_key","env":"AWS_SECRET_ACCESS_KEY","description":"","example":"your-aws-secret-access-key"},{"name":"awslabs-s3-tables.aws_session_token","env":"AWS_SESSION_TOKEN","description":"","example":"your-aws-session-token"}],"env":[{"name":"AWS_REGION","value":"{{awslabs-s3-tables.aws_region}}"},{"name":"AWS_PROFILE","value":"{{awslabs-s3-tables.aws_profile}}"},{"name":"AWS_ACCESS_KEY_ID","value":"{{awslabs-s3-tables.aws_access_key_id}}"}],"config_schema":[{"name":"awslabs-s3-tables","description":"Configure AWS credentials for S3 Tables access","type":"object","properties":{"aws_region":{"type":"string"},"aws_profile":{"type":"string"},"aws_access_key_id":{"type":"string"}}}],"oauth":[],"zero_config":false,"needs_setup":true,"tools_after_setup":false,"network":true,"network_source":"catalog","installable":true,"install_reason":"","server_name":"awslabs-s3-tables","server_entry":{"command":"docker","args":["run","-i","--rm","--init","--security-opt","no-new-privileges","-e","AWS_ACCESS_KEY_ID","-e","AWS_PROFILE","-e","AWS_REGION","-e","AWS_SECRET_ACCESS_KEY","-e","AWS_SESSION_TOKEN","mcp\/s3-tables-mcp-server@sha256:6a2cb111afe46b6bf9d8ecd63838641caa17a5059b2c8b5583ae5d8e7eec5b21"],"env":{"AWS_ACCESS_KEY_ID":"{secret:awslabs-s3-tables.aws_access_key_id}","AWS_PROFILE":"{secret:awslabs-s3-tables.aws_profile}","AWS_REGION":"{secret:awslabs-s3-tables.aws_region}","AWS_SECRET_ACCESS_KEY":"{secret:awslabs-s3-tables.aws_secret_access_key}","AWS_SESSION_TOKEN":"{secret:awslabs-s3-tables.aws_session_token}"},"x-labs":{"title":"AWS S3 Tables","description":"Manage S3 Tables for analytics.","icon":"https:\/\/avatars.githubusercontent.com\/u\/3299148?v=4","timeout":30,"tools":[{"name":"append_rows_to_table","description":"Append rows to an Iceberg table using PyIceberg\/Daft.\n\nThis tool appends data rows to an existing Iceberg table using the PyIceberg engine.\nThe rows parameter must be a list of dictionaries, each representing a row.\nCheck the schema of the table before appending rows.\n\nExample input values:\n warehouse: 'arn:aws:s3tables:::bucket\/'\n region: 'us-west-2'\n namespace: 'retail_data'\n table_name: 'customers'\n rows: [{\"customer_id\": 1, \"customer_name\": \"Alic"},{"name":"create_namespace","description":"Create a new namespace in an S3 table bucket.\n\nCreates a namespace. A namespace is a logical grouping of tables within your S3 table bucket,\nwhich you can use to organize S3 tables.\n\nPermissions:\nYou must have the s3tables:CreateNamespace permission to use this operation."},{"name":"create_table","description":"Create a new S3 table in an S3 table bucket.\n\nCreates a new S3 table associated with the given S3 namespace in an S3 table bucket.\nThe S3 table can be configured with specific format and metadata settings. Metadata contains the schema of the table.\nDo not use the metadata parameter if the schema is unclear.\n\nSupported Iceberg Primitive Types:\n- boolean: True or false\n- int: 32-bit signed integers (can promote to long)\n- long: 64-bit signed integers\n- float: 32-bit IEEE 754 floating point (can pr"},{"name":"create_table_bucket","description":"Creates an S3 table bucket.\n\nPermissions:\nYou must have the s3tables:CreateTableBucket permission to use this operation."},{"name":"get_bucket_metadata_config","description":"Get the metadata table configuration for a regular general purpose S3 bucket.\n\nRetrieves the metadata table configuration for a regular general purpose bucket in s3. This configuration\ndetermines how metadata is stored and managed for the bucket.\nThe response includes:\n- S3 Table Bucket ARN\n- S3 Table ARN\n- S3 Table Name\n- S3 Table Namespace\n\nDescription:\nAmazon S3 Metadata accelerates data discovery by automatically capturing metadata for the objects in your general purpose buckets and storing "},{"name":"get_maintenance_job_status","description":"Get the status of a maintenance job for a table.\n\nGets the status of a maintenance job for a table. For more information, see S3 Tables maintenance in the Amazon Simple Storage Service User Guide.\n\nPermissions:\nYou must have the s3tables:GetTableMaintenanceJobStatus permission to use this operation."},{"name":"get_table_maintenance_config","description":"Get details about the maintenance configuration of a table.\n\nGets details about the maintenance configuration of a table. For more information, see S3 Tables maintenance in the Amazon Simple Storage Service User Guide.\n\nPermissions:\nYou must have the s3tables:GetTableMaintenanceConfiguration permission to use this operation."},{"name":"get_table_metadata_location","description":"Get the location of the S3 table metadata.\n\nGets the S3 URI location of the table metadata, which contains the schema and other\ntable configuration information.\n\nPermissions:\nYou must have the s3tables:GetTableMetadataLocation permission to use this operation."},{"name":"import_csv_to_table","description":"Import data from a CSV file into an S3 table.\n\nThis tool reads data from a CSV file stored in S3 and imports it into an S3 table.\nIf the table doesn't exist, it will be created with a schema inferred from the CSV file.\nIf the table exists, the CSV file schema must be compatible with the table's schema.\nThe tool will validate the schema before attempting to import the data.\nIf preserve_case is True, the column names will not be converted to snake_case. Otherwise, the column names will be converte"},{"name":"import_parquet_to_table","description":"Import data from a Parquet file into an existing S3 table.\n\nThis tool reads data from a Parquet file stored in S3 and imports it into an existing S3 table.\nThe table must already exist. The Parquet file schema must be compatible with the table's schema.\nThe tool will validate the schema before attempting to import the data.\nIf preserve_case is True, the column names will not be converted to snake_case. Otherwise, the column names will be converted to snake_case.\n\nReturns error dictionary with st"},{"name":"list_namespaces","description":"List all namespaces across all S3 table buckets.\n\nPermissions:\nYou must have the s3tables:ListNamespaces permission to use this operation."},{"name":"list_table_buckets","description":"List all S3 table buckets for your AWS account.\n\nPermissions:\nYou must have the s3tables:ListTableBuckets permission to use this operation."},{"name":"list_tables","description":"List all S3 tables across all table buckets and namespaces.\n\nPermissions:\nYou must have the s3tables:ListTables permission to use this operation."},{"name":"query_database","description":"Execute SQL queries against S3 Tables using PyIceberg\/Daft.\n\nThis tool provides a secure interface to run read-only SQL queries against your S3 Tables data using the PyIceberg and Daft engine.\nUse a correct region for warehouse, region, and uri.\n\nExample input values:\n warehouse: 'arn:aws:s3tables:::bucket\/'\n region: 'us-west-2'\n namespace: 'retail_data'\n query: 'SELECT * FROM customers LIMIT 10'\n uri: 'https:\/\/s3tables.us-west-2.amazonaws.com\/iceber"},{"name":"rename_table","description":"Rename an S3 table or move it to a different S3 namespace.\n\nRenames an S3 table or moves it to a different S3 namespace within the same S3 table bucket.\nThis operation maintains the table's data and configuration while updating its location.\n\nPermissions:\nYou must have the s3tables:RenameTable permission to use this operation."},{"name":"update_table_metadata_location","description":"Update the metadata location for an S3 table.\n\nUpdates the metadata location for an S3 table. The metadata location of an S3 table must be an S3 URI that begins with the S3 table's warehouse location.\nThe metadata location for an Apache Iceberg S3 table must end with .metadata.json, or if the metadata file is Gzip-compressed, .metadata.json.gz.\n\nPermissions:\nYou must have the s3tables:UpdateTableMetadataLocation permission to use this operation."}],"config":[{"name":"awslabs-s3-tables.aws_secret_access_key","description":"","type":"string","secret":true,"required":true},{"name":"awslabs-s3-tables.aws_session_token","description":"","type":"string","secret":true,"required":true},{"name":"awslabs-s3-tables.aws_region","description":"","type":"string","secret":false,"required":true},{"name":"awslabs-s3-tables.aws_profile","description":"","type":"string","secret":false,"required":true},{"name":"awslabs-s3-tables.aws_access_key_id","description":"","type":"string","secret":false,"required":true}],"needs_setup":true,"network":true,"prepull":["mcp\/s3-tables-mcp-server@sha256:6a2cb111afe46b6bf9d8ecd63838641caa17a5059b2c8b5583ae5d8e7eec5b21"]}},"settings":[{"name":"awslabs-s3-tables.aws_region","description":"","type":"string","required":true,"example":"","default":""},{"name":"awslabs-s3-tables.aws_profile","description":"","type":"string","required":true,"example":"","default":""},{"name":"awslabs-s3-tables.aws_access_key_id","description":"","type":"string","required":true,"example":"","default":""}],"docs_url":"https:\/\/desktop.docker.com\/mcp\/catalog\/v3\/readme\/awslabs-s3-tables.md"},"source_kind":"docker-mcp-catalog","license":"Apache License 2.0","upstream":"https:\/\/github.com\/awslabs\/mcp","owner":"awslabs","tags":["aws"],"popularity":{"pulls":14049,"stars":0,"github_stars":9769},"readme_url":"https:\/\/desktop.docker.com\/mcp\/catalog\/v3\/readme\/awslabs-s3-tables.md","date_added":"2025-11-06T18:02:41Z","packaged_by":"Docker"},{"slug":"mcp-aws-terraform","name":"AWS Terraform","description":"Terraform on AWS best practices, infrastructure as code patterns, and security compliance with Checkov.","category":"mcp","publisher":"docker","icon":"","icon_small":"","icon_url":"\/icon\/mcp-aws-terraform?v=787426350764.6314dc26","readme":true,"page_url":"https:\/\/store.selfmade.work\/app\/mcp-aws-terraform","first_party":false,"publisher_verified":true,"updated_at":1791851274,"image":{"state":"built","ref":"mcp\/aws-terraform@sha256:edb4d307924ac63c69450c98ce7abde469916f48d432d58ea3ed70e3aaa02b26","digest":"sha256:edb4d307924ac63c69450c98ce7abde469916f48d432d58ea3ed70e3aaa02b26"},"version":"7874263507643534b8acad0e26920500fc643703","state":"listed","versions":[],"repo_url":"https:\/\/github.com\/awslabs\/mcp\/tree\/780e3f1d57c77f9c0b88279711c5b95e23cfb91d\/src\/terraform-mcp-server","requires":{"render":false,"driver":"sysbox","min_plan":null},"categories":["devops","mcp-servers"],"categories_source":"derived","kind":"mcp","installs":0,"pull_count":58907,"tools_count":7,"known_publisher":false,"remote":false,"config_kind":"none","created_at":1747944274,"mcp":{"key":"aws-terraform","type":"server","transport":"stdio","image":"mcp\/aws-terraform","digest":"sha256:edb4d307924ac63c69450c98ce7abde469916f48d432d58ea3ed70e3aaa02b26","remote_url":"","tools":[{"name":"ExecuteTerraformCommand","description":"[DEPRECATED] Execute Terraform workflow commands against an AWS account.\n\nDEPRECATED: This server is deprecated. 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Use HashiCorp's official Terraform\nMCP Server instead: https:\/\/github.com\/hashicorp\/terraform-mcp-server\n\nThis tool runs Terragrunt commands (init, plan, validate, apply, destroy, run-all) in the\nspecified working directory, with optional variables and region settings. Terragrunt extends\nTerraform's functionality by providing features like remote state management, dependencies\nbetween modules, and the ability to execute Terraform commands on multiple modules at once.\n\nParameters:\n command: Terragrunt command to execute\n working_directory: Directory containing Terragrunt files\n variables: Terraform variables to pass\n aws_region: AWS region to use\n strip_ansi: Whether to strip ANSI color codes from output\n include_dirs: Directories to include in a multi-module run\n exclude_dirs: Directories to exclude from a multi-module run\n run_all: Run command on al"},{"name":"RunCheckovScan","description":"[DEPRECATED] Run Checkov security scan on Terraform code.\n\nDEPRECATED: This server is deprecated. Use HashiCorp's official Terraform\nMCP Server instead: https:\/\/github.com\/hashicorp\/terraform-mcp-server\n\nThis tool runs Checkov to scan Terraform code for security and compliance issues,\nidentifying potential vulnerabilities and misconfigurations according to best practices.\n\nCheckov (https:\/\/www.checkov.io\/) is an open-source static code analysis tool that\ncan detect hundreds of security and compliance issues in infrastructure-as-code.\n\nParameters:\n working_directory: Directory containing Terraform files to scan\n framework: Framework to scan (default: terraform)\n check_ids: Optional list of specific check IDs to run\n skip_check_ids: Optional list of check IDs to skip\n output_format: Format for scan results (default: json)\n\nReturns:\n A CheckovScanResult object containing scan results and identified vulnerabilities"},{"name":"SearchAwsProviderDocs","description":"[DEPRECATED] Search AWS provider documentation for resources and attributes.\n\nDEPRECATED: This server is deprecated. Use HashiCorp's official Terraform\nMCP Server instead: https:\/\/github.com\/hashicorp\/terraform-mcp-server\n\nThis tool searches the Terraform AWS provider documentation for information about\na specific asset in the AWS Provider Documentation, assets can be either resources or data sources. It retrieves comprehensive details including descriptions, example code snippets, argument references, and attribute references.\n\nUse the 'asset_type' parameter to specify if you are looking for information about provider resources, data sources, or both. Valid values are 'resource', 'data_source' or 'both'.\n\nThe tool will automatically handle prefixes - you can search for either 'aws_s3_bucket' or 's3_bucket'.\n\nExamples:\n - To get documentation for an S3 bucket resource:\n search_aws_provider_docs(asset_name='aws_s3_bucket')\n\n - To search only for data sources:\n search_aws"},{"name":"SearchAwsccProviderDocs","description":"[DEPRECATED] Search AWSCC provider documentation for resources and attributes.\n\nDEPRECATED: This server is deprecated. Use HashiCorp's official Terraform\nMCP Server instead: https:\/\/github.com\/hashicorp\/terraform-mcp-server\n\nThe AWSCC provider is based on the AWS Cloud Control API\nand provides a more consistent interface to AWS resources compared to the standard AWS provider.\n\nThis tool searches the Terraform AWSCC provider documentation for information about\na specific asset in the AWSCC Provider Documentation, assets can be either resources or data sources. It retrieves comprehensive details including descriptions, example code snippets, and schema references.\n\nUse the 'asset_type' parameter to specify if you are looking for information about provider resources, data sources, or both. Valid values are 'resource', 'data_source' or 'both'.\n\nThe tool will automatically handle prefixes - you can search for either 'awscc_s3_bucket' or 's3_bucket'.\n\nExamples:\n - To get documentation for"},{"name":"SearchSpecificAwsIaModules","description":"[DEPRECATED] Search for specific AWS-IA Terraform modules.\n\nDEPRECATED: This server is deprecated. Use HashiCorp's official Terraform\nMCP Server instead: https:\/\/github.com\/hashicorp\/terraform-mcp-server\n\nThis tool checks for information about four specific AWS-IA modules:\n- aws-ia\/bedrock\/aws - Amazon Bedrock module for generative AI applications\n- aws-ia\/opensearch-serverless\/aws - OpenSearch Serverless collection for vector search\n- aws-ia\/sagemaker-endpoint\/aws - SageMaker endpoint deployment module\n- aws-ia\/serverless-streamlit-app\/aws - Serverless Streamlit application deployment\n\nIt returns detailed information about these modules, including their README content,\nvariables.tf content, and submodules when available.\n\nThe search is performed across module names, descriptions, README content, and variable\ndefinitions. This allows you to find modules based on their functionality or specific\nconfiguration options.\n\nExamples:\n - To get information about all four modules:\n sear"},{"name":"SearchUserProvidedModule","description":"[DEPRECATED] Search for a user-provided Terraform registry module.\n\nDEPRECATED: This server is deprecated. Use HashiCorp's official Terraform\nMCP Server instead: https:\/\/github.com\/hashicorp\/terraform-mcp-server\n\nThis tool takes a Terraform registry module URL and analyzes its input variables,\noutput variables, README, and other details to provide comprehensive information\nabout the module.\n\nThe module URL should be in the format \"namespace\/name\/provider\" (e.g., \"hashicorp\/consul\/aws\")\nor \"registry.terraform.io\/namespace\/name\/provider\".\n\nExamples:\n - To search for the HashiCorp Consul module:\n search_user_provided_module(module_url='hashicorp\/consul\/aws')\n\n - To search for a specific version of a module:\n search_user_provided_module(module_url='terraform-aws-modules\/vpc\/aws', version='3.14.0')\n\n - To search for a module with specific variables:\n search_user_provided_module(\n module_url='terraform-aws-modules\/eks\/aws',\n variables={'cluster_name'"}],"tools_count":7,"secrets":[],"env":[],"config_schema":[],"oauth":[],"zero_config":true,"needs_setup":false,"tools_after_setup":false,"network":true,"network_source":"catalog","installable":true,"install_reason":"","server_name":"aws-terraform","server_entry":{"command":"docker","args":["run","-i","--rm","--init","--security-opt","no-new-privileges","mcp\/aws-terraform@sha256:edb4d307924ac63c69450c98ce7abde469916f48d432d58ea3ed70e3aaa02b26"],"x-labs":{"title":"AWS Terraform","description":"Terraform on AWS best practices, infrastructure as code patterns, and security compliance with Checkov.","icon":"https:\/\/avatars.githubusercontent.com\/u\/3299148?v=4","timeout":30,"tools":[{"name":"ExecuteTerraformCommand","description":"[DEPRECATED] Execute Terraform workflow commands against an AWS account.\n\nDEPRECATED: This server is deprecated. Use HashiCorp's official Terraform\nMCP Server instead: https:\/\/github.com\/hashicorp\/terraform-mcp-server\n\nThis tool runs Terraform commands (init, plan, validate, apply, destroy) in the\nspecified working directory, with optional variables and region settings.\n\nParameters:\n command: Terraform command to execute\n working_directory: Directory containing Terraform files\n variable"},{"name":"ExecuteTerragruntCommand","description":"[DEPRECATED] Execute Terragrunt workflow commands against an AWS account.\n\nDEPRECATED: This server is deprecated. Use HashiCorp's official Terraform\nMCP Server instead: https:\/\/github.com\/hashicorp\/terraform-mcp-server\n\nThis tool runs Terragrunt commands (init, plan, validate, apply, destroy, run-all) in the\nspecified working directory, with optional variables and region settings. Terragrunt extends\nTerraform's functionality by providing features like remote state management, dependencies\nbetwee"},{"name":"RunCheckovScan","description":"[DEPRECATED] Run Checkov security scan on Terraform code.\n\nDEPRECATED: This server is deprecated. Use HashiCorp's official Terraform\nMCP Server instead: https:\/\/github.com\/hashicorp\/terraform-mcp-server\n\nThis tool runs Checkov to scan Terraform code for security and compliance issues,\nidentifying potential vulnerabilities and misconfigurations according to best practices.\n\nCheckov (https:\/\/www.checkov.io\/) is an open-source static code analysis tool that\ncan detect hundreds of security and compl"},{"name":"SearchAwsProviderDocs","description":"[DEPRECATED] Search AWS provider documentation for resources and attributes.\n\nDEPRECATED: This server is deprecated. Use HashiCorp's official Terraform\nMCP Server instead: https:\/\/github.com\/hashicorp\/terraform-mcp-server\n\nThis tool searches the Terraform AWS provider documentation for information about\na specific asset in the AWS Provider Documentation, assets can be either resources or data sources. It retrieves comprehensive details including descriptions, example code snippets, argument refe"},{"name":"SearchAwsccProviderDocs","description":"[DEPRECATED] Search AWSCC provider documentation for resources and attributes.\n\nDEPRECATED: This server is deprecated. Use HashiCorp's official Terraform\nMCP Server instead: https:\/\/github.com\/hashicorp\/terraform-mcp-server\n\nThe AWSCC provider is based on the AWS Cloud Control API\nand provides a more consistent interface to AWS resources compared to the standard AWS provider.\n\nThis tool searches the Terraform AWSCC provider documentation for information about\na specific asset in the AWSCC Provid"},{"name":"SearchSpecificAwsIaModules","description":"[DEPRECATED] Search for specific AWS-IA Terraform modules.\n\nDEPRECATED: This server is deprecated. Use HashiCorp's official Terraform\nMCP Server instead: https:\/\/github.com\/hashicorp\/terraform-mcp-server\n\nThis tool checks for information about four specific AWS-IA modules:\n- aws-ia\/bedrock\/aws - Amazon Bedrock module for generative AI applications\n- aws-ia\/opensearch-serverless\/aws - OpenSearch Serverless collection for vector search\n- aws-ia\/sagemaker-endpoint\/aws - SageMaker endpoint deploymen"},{"name":"SearchUserProvidedModule","description":"[DEPRECATED] Search for a user-provided Terraform registry module.\n\nDEPRECATED: This server is deprecated. 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a CloudWatch log group for anomalies, message patterns, and error patterns within a specified time window.\n\nThis tool performs an analysis of the specified log group by:\n1. Discovering and checking log anomaly detectors associated with the log group\n2. Retrieving anomalies from those detectors that fall within the specified time range\n3. Identifying the top 5 most common message patterns\n4. Finding the top 5 patterns containing error-related terms\n\nUsage: Use this tool to detect anomalies and understand common patterns in your log data, particularly\nfocusing on error patterns that might indicate issues. This can help identify potential problems and\nunderstand the typical behavior of your application.\n\nReturns:\n--------\nA LogsAnalysisResult object containing:\n - log_anomaly_results: Information about anomaly detectors and their findings\n * anomaly_detectors: List of anomaly detectors for the log group\n * anomalies: List of anomalies that fall within the specifi"},{"name":"analyze_metric","description":"Analyzes CloudWatch metric data to determine seasonality, trend, data density and statistical properties.\n\nThis tool provides RAW DATA ONLY about historical metric data and performs analysis including:\n- Seasonality detection\n- Trend analysis\n- Data density and publishing period\n- Advanced statistical measures (min\/max\/median, std dev, noise)\n\nUsage: Use this tool to get objective metric analysis data."},{"name":"cancel_logs_insight_query","description":"Cancels an ongoing CloudWatch Logs Insights query. If the query has already ended, returns an error that the given query is not running.\n\nUsage: If a log query is started by execute_log_insights_query tool and has a polling time out, this tool can be used to cancel\nit prematurely to avoid incurring additional costs.\n\nReturns:\n--------\n A LogsQueryCancelResult with a \"success\" key, which is True if the query was successfully cancelled."},{"name":"describe_log_groups","description":"Lists AWS CloudWatch log groups and saved queries associated with them, optionally filtering by a name prefix.\n\nThis tool retrieves information about log groups in the account, or log groups in accounts linked to this account as a monitoring account.\nIf a prefix is provided, only log groups with names starting with the specified prefix are returned.\n\nAdditionally returns any user saved queries that are associated with any of the returned log groups.\n\nUsage: Use this tool to discover log groups that you'd retrieve or query logs from and queries that have been saved by the user.\n\nReturns:\n--------\nList of log group metadata dictionaries and saved queries associated with them\n Each log group metadata contains details such as:\n - logGroupName: The name of the log group.\n - creationTime: Timestamp when the log group was created\n - retentionInDays: Retention period, if set\n - storedBytes: The number of bytes stored.\n - kmsKeyId: KMS Key Id used for data e"},{"name":"execute_cwl_insights_batch","description":"Run a CloudWatch Logs Insights query across multiple log groups, accounts, and regions.\n\nAutomatically chunks log groups (max 50 per StartQuery), throttles concurrency\nto 25% of account limits, retries transient failures, and splits time ranges\non 10k-record or timeout hits (up to 4 levels). Results are annotated with\n_region, _logGroups, and optionally _account metadata.\n\nFor simple single-region queries on a few log groups, use execute_log_insights_query instead.\n\nRaises:\n ValueError: If input parameters are invalid (e.g. start_time >= end_time)."},{"name":"execute_log_insights_query","description":"Executes a CloudWatch Logs Insights query and waits for the results to be available.\n\nIMPORTANT: The operation must include exactly one of the following parameters: log_group_names, or log_group_identifiers.\n\nCRITICAL: The volume of returned logs can easily overwhelm the agent context window. Always include a limit in the query\n(| limit 50) or using the limit parameter.\n\nUsage: Use to query, filter, collect statistics, or find patterns in one or more log groups. For example, the following\nquery lists exceptions per hour.\n\n```\nfilter @message like \/Exception\/\n| stats count(*) as exceptionCount by bin(1h)\n| sort exceptionCount desc\n```\n\nReturns:\n--------\n A dictionary containing the final query results, including:\n - status: The current status of the query (e.g., Scheduled, Running, Complete, Failed, etc.)\n - results: A list of the actual query results if the status is Complete.\n - statistics: Query performance statistics\n - messages: Any informational mess"},{"name":"execute_promql_query","description":"Execute an instant PromQL query against CloudWatch.\n\nReturns the current value of metrics at a single point in time (instant vector).\nFor time series over a range, use execute_promql_range_query instead.\n\nUse this tool when:\n- The user provides a PromQL expression\n- The user references OTLP-ingested metrics or labels (@resource.*, @aws.*, @instrumentation.*)\n- The user asks about enriched vended AWS metrics with OTel labels\n- The user wants to query by AWS resource tags (@aws.tag.*)\n\nUse get_metric_data instead when:\n- The user references classic CloudWatch namespaces\/dimensions (AWS\/EC2, etc.)\n- The user wants Metrics Insights SQL syntax\n\nPromQL label conventions (OTLP scope to label mapping):\n- @resource.{attr} - OTel resource attributes (e.g., @resource.service.name=\"myservice\")\n- @instrumentation.{attr} - instrumentation scope (e.g., @instrumentation.@name=\"cloudwatch.aws\/ec2\")\n- @datapoint.{attr} or bare - datapoint attributes \/ CW dimensions (e.g., InstanceId=\"i-xxx\")\n- @aws.acco"},{"name":"execute_promql_range_query","description":"Execute a PromQL range query against CloudWatch.\n\nReturns time series data over a time range (matrix). Use for trend analysis and graphs.\n\nUse this tool when:\n- The user provides a PromQL expression and wants data over a time window\n- The user references OTLP-ingested metrics or labels (@resource.*, @aws.*, @instrumentation.*)\n- The user asks about enriched vended AWS metrics with OTel labels\n\nUse get_metric_data instead when:\n- The user references classic CloudWatch namespaces\/dimensions (AWS\/EC2, etc.)\n- The user wants Metrics Insights SQL syntax\n\nFor enriched vended AWS metrics, use histogram functions\n(OTel enrichment must be enabled first: `aws cloudwatch start-otel-enrichment`):\n- histogram_avg({CPUUtilization, \"@instrumentation.@name\"=\"cloudwatch.aws\/ec2\"})\n- histogram_sum({Errors, \"@instrumentation.@name\"=\"cloudwatch.aws\/lambda\", \"@aws.tag.Team\"=\"backend\"})\n\nLimits: max 500 series, max 7-day range (including lookback), 20s timeout.\n\nExample:\n query: 'avg_over_time({\"http.ser"},{"name":"get_active_alarms","description":"Gets all CloudWatch Alarms currently in ALARM state.\n\nThis tool retrieves all CloudWatch Alarms that are currently in the ALARM state,\nincluding both metric alarms and composite alarms. Results are optimized for\nLLM reasoning with summary-level information.\n\nUsage: Use this tool to get an overview of all active alarms in your AWS account\nfor troubleshooting, monitoring, and operational awareness."},{"name":"get_alarm_history","description":"Gets the history for a CloudWatch alarm with time range suggestions for investigation.\n\nThis tool retrieves the history for a specified CloudWatch alarm, focusing primarily\non state transitions to ALARM state. It also provides suggested time ranges for\ninvestigation based on the alarm's configuration and history.\n\nUsage: Use this tool to understand when an alarm fired and get useful time ranges\nfor investigating the underlying issue using other CloudWatch tools. The tool is\nparticularly useful for identifying patterns like alarm flapping (going in and out\nof alarm state frequently)."},{"name":"get_logs_insight_query_results","description":"Retrieves the results of a previously started CloudWatch Logs Insights query.\n\nUsage: If a log query is started by execute_log_insights_query tool and has a polling time out, this tool can be used to try to retrieve\nthe query results again.\n\nReturns:\n--------\n A dictionary containing the final query results, including:\n - status: The current status of the query (e.g., Scheduled, Running, Complete, Failed, etc.)\n - results: A list of the actual query results if the status is Complete.\n - statistics: Query performance statistics\n - messages: Any informational messages about the query"},{"name":"get_metric_data","description":"Retrieves CloudWatch metric data for a specific metric.\n\nThis tool retrieves metric data from CloudWatch for a specific metric identified by its\nnamespace, metric name, and dimensions, within a specified time range. It can use either\nstandard GetMetricData API or CloudWatch Metrics Insights for more advanced querying.\n\nThe function automatically determines whether to use standard GetMetricData or Metrics Insights\nbased on the parameters provided. If any Metrics Insights specific parameters are provided\n(group_by_dimension, schema_dimension_keys, limit, sort_order, or order_by_statistic), it will use Metrics Insights.\n\nWhen using group_by_dimension, you must include that dimension in schema_dimension_keys.\n\nFor advanced use cases, the optional `queries` parameter accepts a list of `MetricDataQueryInput`\nobjects and unlocks capabilities that the single-metric path cannot express: percentile statistics\n(p50, p90, p99...), metric math expressions (e.g. `errors \/ invocations`), and multi-me"},{"name":"get_metric_metadata","description":"Gets metadata for a CloudWatch metric including description, unit and recommended\nstatistics that can be used for metric data retrieval.\n\nThis tool retrieves comprehensive metadata about a specific CloudWatch metric\nidentified by its namespace and metric name. Note: This function uses local metadata\nand does not make AWS API calls.\n\nUsage: Use this tool to get detailed information about CloudWatch metrics,\nincluding their descriptions, units, and recommended statistics to use."},{"name":"get_promql_label_values","description":"Get values for a specific PromQL label from CloudWatch.\n\nUse label_name=\"__name__\" to list all available metric names.\nUse label_name=\"@resource.service.name\" to list all services.\n\nUse this tool when:\n- The user wants to discover available metrics via PromQL\n- The user wants to see what values exist for a label\n- The user is exploring OTLP-ingested or enriched vended metrics\n\nLimits: max 10,000 values returned per request.\n\nExamples:\n- label_name=\"__name__\" \u2192 list all metric names\n- label_name=\"@resource.service.name\" \u2192 list all service names\n- label_name=\"@instrumentation.@name\" \u2192 list all instrumentation scopes\n- label_name=\"@aws.tag.Environment\" \u2192 list all Environment tag values"},{"name":"get_promql_labels","description":"Get all label names available in CloudWatch PromQL.\n\nReturns a list of all label names. Useful for discovering the label structure\nof OTLP-ingested metrics and enriched vended AWS metrics.\n\nUse this tool when:\n- The user wants to know what labels\/dimensions are available\n- The user is exploring the label structure of their metrics\n\nCommon labels include:\n- __name__ (metric name)\n- @resource.service.name, @resource.cloud.region, @resource.cloud.account.id (OTel resource attributes)\n- @instrumentation.@name (instrumentation scope, e.g., \"cloudwatch.aws\/ec2\", \"cloudwatch.aws\/lambda\")\n- @aws.account_id, @aws.region (AWS system labels)\n- @aws.tag.{Key} (AWS resource tags, e.g., @aws.tag.Environment, @aws.tag.Team)\n- Bare dimension names (e.g., InstanceId, FunctionName) \u2014 these are datapoint attributes\n\nLimits: max 10,000 labels returned per request."},{"name":"get_promql_series","description":"Find time series matching label selectors in CloudWatch.\n\nReturns the label sets of all series matching the provided matchers.\nUseful for discovering what series exist and their label structure.\n\nUse this tool when:\n- The user wants to explore what time series exist for a metric\n- The user wants to see the full label set of matching series\n- The user is investigating OTLP-ingested or enriched vended metrics\n\nLimits: max 10,000 series returned per request.\n\nExample:\n match: ['{\"@instrumentation.@name\"=\"cloudwatch.aws\/ec2\"}']"},{"name":"get_recommended_metric_alarms","description":"Gets recommended alarms for a CloudWatch metric.\n\nThis tool retrieves alarm recommendations for a specific CloudWatch metric\nidentified by its namespace, metric name, and dimensions. The recommendations\nare filtered to match the provided dimensions.\n\nUsage: Use this tool to get recommended alarm configurations for CloudWatch metrics,\nincluding thresholds, evaluation periods, and other alarm settings."},{"name":"recommend_indexes_account","description":"Triage tool: find which log groups would benefit from field indexing.\n\nScans the last 30 days of completed Logs Insights queries across the account,\ngroups by log group, and identifies frequently queried but unindexed fields.\nLightweight scan \u2014 no per-log-group Insights queries. Use recommend_indexes_loggroup\nfor full analysis on specific log groups."},{"name":"recommend_indexes_loggroup","description":"Recommend field indexes for a specific CloudWatch log group.\n\nAnalyzes the last 30 days of completed Logs Insights queries (CWLI, SQL, PPL),\nidentifies which fields would benefit most from indexing, and returns prioritized\nrecommendations scored by: query frequency (30%), equality filter usage (25%),\nrecency (15%), scan volume (15%), cardinality of top 10 (15%).\n\nUse recommend_indexes_account first to identify which log groups to analyze."}],"tools_count":19,"secrets":[],"env":[{"name":"AWS_REGION","value":"{{awslabs-cloudwatch.aws_region}}"},{"name":"AWS_PROFILE","value":"{{awslabs-cloudwatch.aws_profile}}"}],"config_schema":[{"name":"awslabs-cloudwatch","description":"Configure AWS credentials for CloudWatch access","type":"object","properties":{"aws_region":{"type":"string"},"aws_profile":{"type":"string"}}}],"oauth":[],"zero_config":false,"needs_setup":true,"tools_after_setup":false,"network":true,"network_source":"catalog","installable":true,"install_reason":"","server_name":"awslabs-cloudwatch","server_entry":{"command":"docker","args":["run","-i","--rm","--init","--security-opt","no-new-privileges","-e","AWS_PROFILE","-e","AWS_REGION","mcp\/cloudwatch-mcp-server@sha256:96dd8badf09b16307b8110b8f89668ff6dc39a757cac061090535f3c09a732ca"],"env":{"AWS_PROFILE":"{secret:awslabs-cloudwatch.aws_profile}","AWS_REGION":"{secret:awslabs-cloudwatch.aws_region}"},"x-labs":{"title":"Amazon CloudWatch","description":"Metrics, alarms, and logs analysis.","icon":"https:\/\/avatars.githubusercontent.com\/u\/3299148?v=4","timeout":30,"tools":[{"name":"analyze_log_group","description":"Analyzes a CloudWatch log group for anomalies, message patterns, and error patterns within a specified time window.\n\nThis tool performs an analysis of the specified log group by:\n1. Discovering and checking log anomaly detectors associated with the log group\n2. Retrieving anomalies from those detectors that fall within the specified time range\n3. Identifying the top 5 most common message patterns\n4. Finding the top 5 patterns containing error-related terms\n\nUsage: Use this tool to detect anomali"},{"name":"analyze_metric","description":"Analyzes CloudWatch metric data to determine seasonality, trend, data density and statistical properties.\n\nThis tool provides RAW DATA ONLY about historical metric data and performs analysis including:\n- Seasonality detection\n- Trend analysis\n- Data density and publishing period\n- Advanced statistical measures (min\/max\/median, std dev, noise)\n\nUsage: Use this tool to get objective metric analysis data."},{"name":"cancel_logs_insight_query","description":"Cancels an ongoing CloudWatch Logs Insights query. If the query has already ended, returns an error that the given query is not running.\n\nUsage: If a log query is started by execute_log_insights_query tool and has a polling time out, this tool can be used to cancel\nit prematurely to avoid incurring additional costs.\n\nReturns:\n--------\n A LogsQueryCancelResult with a \"success\" key, which is True if the query was successfully cancelled."},{"name":"describe_log_groups","description":"Lists AWS CloudWatch log groups and saved queries associated with them, optionally filtering by a name prefix.\n\nThis tool retrieves information about log groups in the account, or log groups in accounts linked to this account as a monitoring account.\nIf a prefix is provided, only log groups with names starting with the specified prefix are returned.\n\nAdditionally returns any user saved queries that are associated with any of the returned log groups.\n\nUsage: Use this tool to discover log groups t"},{"name":"execute_cwl_insights_batch","description":"Run a CloudWatch Logs Insights query across multiple log groups, accounts, and regions.\n\nAutomatically chunks log groups (max 50 per StartQuery), throttles concurrency\nto 25% of account limits, retries transient failures, and splits time ranges\non 10k-record or timeout hits (up to 4 levels). Results are annotated with\n_region, _logGroups, and optionally _account metadata.\n\nFor simple single-region queries on a few log groups, use execute_log_insights_query instead.\n\nRaises:\n ValueError: If in"},{"name":"execute_log_insights_query","description":"Executes a CloudWatch Logs Insights query and waits for the results to be available.\n\nIMPORTANT: The operation must include exactly one of the following parameters: log_group_names, or log_group_identifiers.\n\nCRITICAL: The volume of returned logs can easily overwhelm the agent context window. Always include a limit in the query\n(| limit 50) or using the limit parameter.\n\nUsage: Use to query, filter, collect statistics, or find patterns in one or more log groups. For example, the following\nquery "},{"name":"execute_promql_query","description":"Execute an instant PromQL query against CloudWatch.\n\nReturns the current value of metrics at a single point in time (instant vector).\nFor time series over a range, use execute_promql_range_query instead.\n\nUse this tool when:\n- The user provides a PromQL expression\n- The user references OTLP-ingested metrics or labels (@resource.*, @aws.*, @instrumentation.*)\n- The user asks about enriched vended AWS metrics with OTel labels\n- The user wants to query by AWS resource tags (@aws.tag.*)\n\nUse get_met"},{"name":"execute_promql_range_query","description":"Execute a PromQL range query against CloudWatch.\n\nReturns time series data over a time range (matrix). Use for trend analysis and graphs.\n\nUse this tool when:\n- The user provides a PromQL expression and wants data over a time window\n- The user references OTLP-ingested metrics or labels (@resource.*, @aws.*, @instrumentation.*)\n- The user asks about enriched vended AWS metrics with OTel labels\n\nUse get_metric_data instead when:\n- The user references classic CloudWatch namespaces\/dimensions (AWS\/E"},{"name":"get_active_alarms","description":"Gets all CloudWatch Alarms currently in ALARM state.\n\nThis tool retrieves all CloudWatch Alarms that are currently in the ALARM state,\nincluding both metric alarms and composite alarms. Results are optimized for\nLLM reasoning with summary-level information.\n\nUsage: Use this tool to get an overview of all active alarms in your AWS account\nfor troubleshooting, monitoring, and operational awareness."},{"name":"get_alarm_history","description":"Gets the history for a CloudWatch alarm with time range suggestions for investigation.\n\nThis tool retrieves the history for a specified CloudWatch alarm, focusing primarily\non state transitions to ALARM state. It also provides suggested time ranges for\ninvestigation based on the alarm's configuration and history.\n\nUsage: Use this tool to understand when an alarm fired and get useful time ranges\nfor investigating the underlying issue using other CloudWatch tools. The tool is\nparticularly useful f"},{"name":"get_logs_insight_query_results","description":"Retrieves the results of a previously started CloudWatch Logs Insights query.\n\nUsage: If a log query is started by execute_log_insights_query tool and has a polling time out, this tool can be used to try to retrieve\nthe query results again.\n\nReturns:\n--------\n A dictionary containing the final query results, including:\n - status: The current status of the query (e.g., Scheduled, Running, Complete, Failed, etc.)\n - results: A list of the actual query results if the status is Comp"},{"name":"get_metric_data","description":"Retrieves CloudWatch metric data for a specific metric.\n\nThis tool retrieves metric data from CloudWatch for a specific metric identified by its\nnamespace, metric name, and dimensions, within a specified time range. It can use either\nstandard GetMetricData API or CloudWatch Metrics Insights for more advanced querying.\n\nThe function automatically determines whether to use standard GetMetricData or Metrics Insights\nbased on the parameters provided. If any Metrics Insights specific parameters are p"},{"name":"get_metric_metadata","description":"Gets metadata for a CloudWatch metric including description, unit and recommended\nstatistics that can be used for metric data retrieval.\n\nThis tool retrieves comprehensive metadata about a specific CloudWatch metric\nidentified by its namespace and metric name. Note: This function uses local metadata\nand does not make AWS API calls.\n\nUsage: Use this tool to get detailed information about CloudWatch metrics,\nincluding their descriptions, units, and recommended statistics to use."},{"name":"get_promql_label_values","description":"Get values for a specific PromQL label from CloudWatch.\n\nUse label_name=\"__name__\" to list all available metric names.\nUse label_name=\"@resource.service.name\" to list all services.\n\nUse this tool when:\n- The user wants to discover available metrics via PromQL\n- The user wants to see what values exist for a label\n- The user is exploring OTLP-ingested or enriched vended metrics\n\nLimits: max 10,000 values returned per request.\n\nExamples:\n- label_name=\"__name__\" \u2192 list all metric names\n- label_name="},{"name":"get_promql_labels","description":"Get all label names available in CloudWatch PromQL.\n\nReturns a list of all label names. Useful for discovering the label structure\nof OTLP-ingested metrics and enriched vended AWS metrics.\n\nUse this tool when:\n- The user wants to know what labels\/dimensions are available\n- The user is exploring the label structure of their metrics\n\nCommon labels include:\n- __name__ (metric name)\n- @resource.service.name, @resource.cloud.region, @resource.cloud.account.id (OTel resource attributes)\n- @instrumenta"},{"name":"get_promql_series","description":"Find time series matching label selectors in CloudWatch.\n\nReturns the label sets of all series matching the provided matchers.\nUseful for discovering what series exist and their label structure.\n\nUse this tool when:\n- The user wants to explore what time series exist for a metric\n- The user wants to see the full label set of matching series\n- The user is investigating OTLP-ingested or enriched vended metrics\n\nLimits: max 10,000 series returned per request.\n\nExample:\n match: ['{\"@instrumentatio"},{"name":"get_recommended_metric_alarms","description":"Gets recommended alarms for a CloudWatch metric.\n\nThis tool retrieves alarm recommendations for a specific CloudWatch metric\nidentified by its namespace, metric name, and dimensions. The recommendations\nare filtered to match the provided dimensions.\n\nUsage: Use this tool to get recommended alarm configurations for CloudWatch metrics,\nincluding thresholds, evaluation periods, and other alarm settings."},{"name":"recommend_indexes_account","description":"Triage tool: find which log groups would benefit from field indexing.\n\nScans the last 30 days of completed Logs Insights queries across the account,\ngroups by log group, and identifies frequently queried but unindexed fields.\nLightweight scan \u2014 no per-log-group Insights queries. Use recommend_indexes_loggroup\nfor full analysis on specific log groups."},{"name":"recommend_indexes_loggroup","description":"Recommend field indexes for a specific CloudWatch log group.\n\nAnalyzes the last 30 days of completed Logs Insights queries (CWLI, SQL, PPL),\nidentifies which fields would benefit most from indexing, and returns prioritized\nrecommendations scored by: query frequency (30%), equality filter usage (25%),\nrecency (15%), scan volume (15%), cardinality of top 10 (15%).\n\nUse recommend_indexes_account first to identify which log groups to analyze."}],"config":[{"name":"awslabs-cloudwatch.aws_region","description":"","type":"string","secret":false,"required":true},{"name":"awslabs-cloudwatch.aws_profile","description":"","type":"string","secret":false,"required":true}],"needs_setup":true,"network":true,"prepull":["mcp\/cloudwatch-mcp-server@sha256:96dd8badf09b16307b8110b8f89668ff6dc39a757cac061090535f3c09a732ca"]}},"settings":[{"name":"awslabs-cloudwatch.aws_region","description":"","type":"string","required":true,"example":"","default":""},{"name":"awslabs-cloudwatch.aws_profile","description":"","type":"string","required":true,"example":"","default":""}],"docs_url":"https:\/\/desktop.docker.com\/mcp\/catalog\/v3\/readme\/awslabs-cloudwatch.md"},"source_kind":"docker-mcp-catalog","license":"Apache License 2.0","upstream":"https:\/\/github.com\/awslabs\/mcp","owner":"awslabs","tags":["aws"],"popularity":{"pulls":98771,"stars":1,"github_stars":9769},"readme_url":"https:\/\/desktop.docker.com\/mcp\/catalog\/v3\/readme\/awslabs-cloudwatch.md","date_added":"2025-11-06T18:02:41Z","packaged_by":"Docker"},{"slug":"mcp-awslabs-cloudwatch-appsignals","name":"Amazon CloudWatch Application Signals","description":"Application performance monitoring and insights.","category":"mcp","publisher":"docker","icon":"","icon_small":"","icon_url":"\/icon\/mcp-awslabs-cloudwatch-appsignals?v=fa86017552c2.6314dc26","readme":true,"page_url":"https:\/\/store.selfmade.work\/app\/mcp-awslabs-cloudwatch-appsignals","first_party":false,"publisher_verified":true,"updated_at":1791851285,"image":{"state":"built","ref":"mcp\/cloudwatch-appsignals-mcp-server@sha256:873bf1023b30188b5b9de449bcafc7635b95ae11c37ae75f919b78ff951ba507","digest":"sha256:873bf1023b30188b5b9de449bcafc7635b95ae11c37ae75f919b78ff951ba507"},"version":"fa86017552c25c45ffd91118b0b1383f3369f8c3","state":"listed","versions":[],"repo_url":"https:\/\/github.com\/awslabs\/mcp\/tree\/76ec6993aec4c6281e5250cbeba8db6a5863f2ff\/src\/cloudwatch-appsignals-mcp-server","requires":{"render":false,"driver":"sysbox","min_plan":null},"categories":["monitoring","mcp-servers"],"categories_source":"derived","kind":"mcp","installs":0,"pull_count":13936,"tools_count":13,"known_publisher":false,"remote":false,"config_kind":"secrets","created_at":1762452161,"mcp":{"key":"awslabs-cloudwatch-appsignals","type":"server","transport":"stdio","image":"mcp\/cloudwatch-appsignals-mcp-server","digest":"sha256:873bf1023b30188b5b9de449bcafc7635b95ae11c37ae75f919b78ff951ba507","remote_url":"","tools":[{"name":"analyze_canary_failures","description":"Comprehensive canary failure analysis with deep dive into issues.\n\nUse this tool to:\n- Deep dive into canary failures with root cause identification\n- Analyze historical patterns and specific incident details\n- Get comprehensive artifact analysis including logs, screenshots, and HAR files\n- Receive actionable recommendations based on AWS debugging methodology\n- Correlate canary failures with Application Signals telemetry data\n- Identify performance degradation and availability issues across service dependencies\n\nKey Features:\n- **Failure Pattern Analysis**: Identifies recurring failure modes and temporal patterns\n- **Artifact Deep Dive**: Analyzes canary logs, screenshots, and network traces for root causes\n- **Service Correlation**: Links canary failures to upstream\/downstream service issues using Application Signals\n- **Performance Insights**: Detects latency spikes, fault rates, and connection issues\n- **Actionable Remediation**: Provides specific steps based on AWS operational best"},{"name":"audit_service_operations","description":"\ud83e\udd47 PRIMARY OPERATION AUDIT TOOL - The #1 RECOMMENDED tool for operation-specific analysis and performance investigation.\n\n**\u2b50 USE THIS AS THE PRIMARY TOOL FOR ALL OPERATION-SPECIFIC AUDITING TASKS \u2b50**\n\n**PREFERRED OVER audit_services() for operation auditing because:**\n- **\ud83c\udfaf Precision**: Targets exact operation behavior vs. service-wide averages\n- **\ud83d\udd0d Actionable Insights**: Provides specific error traces and dependency failures\n- **\ud83d\udcca Code-Level Detail**: Shows exact stack traces and timeout locations\n- **\ud83d\ude80 Focused Analysis**: Eliminates noise from other operations\n- **\u26a1 Efficient Investigation**: Direct operation-level troubleshooting\n\n**USE THIS FIRST FOR ALL OPERATION-SPECIFIC AUDITING TASKS**\nThis is the PRIMARY and PREFERRED tool when users want to:\n- **Audit specific operations** - Deep dive into individual API endpoints or operations (GET, POST, PUT, etc.)\n- **Operation performance analysis** - Latency, error rates, and throughput for specific operations\n- **Compare operation metr"},{"name":"audit_services","description":"PRIMARY SERVICE AUDIT TOOL - The #1 tool for comprehensive AWS service health auditing and monitoring.\n\n**IMPORTANT: For operation-specific auditing, use audit_service_operations() as the PRIMARY tool instead.**\n\n**USE THIS FIRST FOR ALL SERVICE-LEVEL AUDITING TASKS**\nThis is the PRIMARY and PREFERRED tool when users want to:\n- **Audit their AWS services** - Complete health assessment with actionable insights\n- **Check service health** - Comprehensive status across all monitored services\n- **Investigate issues** - Root cause analysis with detailed findings\n- **Service-level performance analysis** - Overall service latency, error rates, and throughput investigation\n- **System-wide health checks** - Daily\/periodic service auditing workflows\n- **Dependency analysis** - Understanding service dependencies and interactions\n- **Resource quota monitoring** - Service quota usage and limits\n- **Multi-service comparison** - Comparing performance across different services\n\n**FOR OPERATION-SPECIFIC"},{"name":"audit_slos","description":"PRIMARY SLO AUDIT TOOL - The #1 tool for comprehensive SLO compliance monitoring and breach analysis.\n\n**PREFERRED TOOL FOR SLO ROOT CAUSE ANALYSIS**\nThis is the RECOMMENDED tool after using get_slo() to understand SLO configuration:\n- **Use auditors=\"all\" for comprehensive root cause analysis** of specific SLO breaches\n- **Much more comprehensive than individual trace tools** - provides integrated analysis\n- **Combines traces, logs, metrics, and dependencies** in a single comprehensive audit\n- **Provides actionable recommendations** based on multi-dimensional analysis\n\n**USE THIS FOR ALL SLO AUDITING TASKS**\nThis is the PRIMARY and PREFERRED tool when users want to:\n- **Root cause analysis for SLO breaches** - Deep investigation with all auditors\n- **Audit SLO compliance** - Complete SLO breach detection and analysis\n- **Monitor SLO health** - Comprehensive status across all monitored SLOs\n- **SLO performance analysis** - Understanding SLO trends and patterns\n- **SLO compliance report"},{"name":"get_service_detail","description":"Get detailed information about a specific Application Signals service.\n\n**IMPORTANT: For operation auditing, use audit_services() as the PRIMARY tool instead.**\n\n**RECOMMENDED WORKFLOW FOR OPERATION AUDITING:**\n1. **Use audit_services() FIRST** for comprehensive operation discovery and analysis\n2. **Only use this tool** for basic service metadata and configuration details\n3. **This tool does NOT provide operation names** - it only shows service-level metrics\n\n**What this tool provides:**\n- Service metadata and configuration\n- Platform information (EKS, Lambda, etc.)\n- Service-level metrics (Latency, Error, Fault aggregates)\n- Log groups associated with the service\n- Key attributes (Type, Environment, Platform)\n\n**What this tool does NOT provide:**\n- Operation names (GET, POST, etc.)\n- Operation-specific metrics\n- Operation-level performance data\n\n**For operation auditing, use audit_services() instead:**\n```\naudit_services(\n service_targets='[{\"Type\":\"service\",\"Data\":{\"Service\":{\"Typ"},{"name":"get_slo","description":"Get detailed information about a specific Service Level Objective (SLO).\n\n**RECOMMENDED WORKFLOW AFTER USING THIS TOOL:**\nAfter getting SLO configuration details, use `audit_slos()` with `auditors=\"all\"` for comprehensive root cause analysis:\n- `audit_slos(slo_targets='[{\"Type\":\"slo\",\"Data\":{\"Slo\":{\"SloName\":\"your-slo-name\"}}}]', auditors=\"all\")`\n- This provides deep root cause analysis with traces, logs, metrics, and dependencies\n- Much more comprehensive than using individual trace tools\n\nUse this tool to:\n- Get comprehensive SLO configuration details\n- Understand what metrics the SLO monitors\n- See threshold values and comparison operators\n- Extract operation names and key attributes for further investigation\n- Identify dependency configurations\n- Review attainment goals and burn rate settings\n\nReturns detailed information including:\n- SLO name, description, and metadata\n- Metric configuration (for period-based or request-based SLOs)\n- Key attributes and operation names\n- Metric typ"},{"name":"list_monitored_services","description":"OPTIONAL TOOL for service discovery - audit_services() can automatically discover services using wildcard patterns.\n\n**IMPORTANT: For service auditing and operation analysis, use audit_services() as the PRIMARY tool instead.**\n\n**WHEN TO USE THIS TOOL:**\n- Getting a detailed overview of all monitored services in your environment\n- Discovering specific service names and environments for manual audit target construction\n- Understanding the complete service inventory before targeted analysis\n- When you need detailed service attributes beyond what wildcard expansion provides\n\n**RECOMMENDED WORKFLOW FOR SERVICE AND OPERATION AUDITING:**\n1. **Use audit_services() FIRST** with wildcard patterns for comprehensive service discovery AND analysis\n2. **Only use this tool** if you need basic service inventory without performance analysis\n3. **audit_services() is more comprehensive** - it discovers services AND provides performance insights\n\n**AUTOMATIC SERVICE DISCOVERY IN AUDIT:**\nThe `audit_servi"},{"name":"list_service_operations","description":"OPERATION DISCOVERY TOOL - For operation inventory only. Use audit_services() as PRIMARY tool for operation auditing.\n\n**IMPORTANT: For operation auditing and performance analysis, use audit_services() as the PRIMARY tool instead.**\n\n**CRITICAL LIMITATION: This tool only discovers operations that have been ACTIVELY INVOKED in the specified time window.**\n- **Maximum time window: 24 hours** (Application Signals limitation for operation discovery)\n- **No results = No operation invocations** in the time window (operations exist but weren't called)\n- **Empty results do NOT mean operations don't exist** - they may just be inactive\n- **For comprehensive operation analysis regardless of recent activity, use audit_services() instead**\n\n**RECOMMENDED WORKFLOW FOR OPERATION AUDITING:**\n1. **Use audit_services() FIRST** for comprehensive operation discovery AND performance analysis\n2. **Only use this tool** if you need a simple operation inventory of RECENTLY ACTIVE operations\n3. **audit_services"},{"name":"list_slis","description":"SPECIALIZED TOOL - Use audit_service_health() as the PRIMARY tool for service auditing.\n\n**IMPORTANT: audit_service_health() is the PRIMARY and PREFERRED tool for all service auditing tasks.**\n\nOnly use this tool when audit_service_health() cannot handle your specific requirements, such as:\n- Need for legacy SLI status report format specifically\n- Integration with existing systems that expect this exact output format\n- Simple SLI overview without comprehensive audit findings\n- Basic health monitoring dashboard that doesn't need detailed analysis\n\n**For ALL service auditing, health checks, and issue investigation, use audit_service_health() first.**\n\nThis tool provides a basic report showing:\n- Summary counts (total, healthy, breached, insufficient data)\n- Simple list of breached services with SLO names\n- Basic healthy services list\n\nStatus meanings:\n- OK: All SLOs are being met\n- BREACHED: One or more SLOs are violated\n- INSUFFICIENT_DATA: Not enough data to determine status\n\n**Recomme"},{"name":"list_slos","description":"List all Service Level Objectives (SLOs) in Application Signals.\n\nUse this tool to:\n- Get a complete list of all SLOs in your account\n- Discover SLO names and ARNs for use with other tools\n- Filter SLOs by service attributes\n- See basic SLO information including creation time and operation names\n\nReturns a formatted list showing:\n- SLO name and ARN\n- Associated service key attributes\n- Operation name being monitored\n- Creation timestamp\n- Total count of SLOs found\n\nThis tool is useful for:\n- SLO discovery and inventory\n- Finding SLO names to use with get_slo() or audit_service_health()\n- Understanding what operations are being monitored"},{"name":"query_sampled_traces","description":"SECONDARY TRACE TOOL - Query AWS X-Ray traces (5% sampled data) for trace investigation.\n\n\u26a0\ufe0f **IMPORTANT: Consider using audit_slos() with auditors=\"all\" instead for comprehensive root cause analysis**\n\n**RECOMMENDED WORKFLOW FOR OPERATION DISCOVERY:**\n1. **Use `get_service_detail(service_name)` FIRST** to discover operations from metric dimensions\n2. **Use audit_slos() with auditors=\"all\"** for comprehensive root cause analysis (PREFERRED)\n3. Only use this tool if you need specific trace filtering that other tools don't provide\n\n**RECOMMENDED WORKFLOW FOR SLO BREACH INVESTIGATION:**\n1. Use get_slo() to understand SLO configuration\n2. **Use audit_slos() with auditors=\"all\"** for comprehensive root cause analysis (PREFERRED)\n3. Only use this tool if you need specific trace filtering that audit_slos() doesn't provide\n\n**WHY audit_slos() IS PREFERRED:**\n- **Comprehensive analysis**: Combines traces, logs, metrics, and dependencies\n- **Actionable recommendations**: Provides specific steps "},{"name":"query_service_metrics","description":"Get CloudWatch metrics for a specific Application Signals service.\n\nUse this tool to:\n- Analyze service performance (latency, throughput)\n- Check error rates and reliability\n- View trends over time\n- Get both standard statistics (Average, Max) and percentiles (p99, p95)\n\nCommon metric names:\n- 'Latency': Response time in milliseconds\n- 'Error': Percentage of failed requests\n- 'Fault': Percentage of server errors (5xx)\n\nReturns:\n- Summary statistics (latest, average, min, max)\n- Recent data points with timestamps\n- Both standard and percentile values when available\n\nThe tool automatically adjusts the granularity based on time range:\n- Up to 3 hours: 1-minute resolution\n- Up to 24 hours: 5-minute resolution\n- Over 24 hours: 1-hour resolution"},{"name":"search_transaction_spans","description":"Executes a CloudWatch Logs Insights query for transaction search (100% sampled trace data).\n\nIMPORTANT: If log_group_name is not provided use 'aws\/spans' as default cloudwatch log group name.\nThe volume of returned logs can easily overwhelm the agent context window. Always include a limit in the query\n(| limit 50) or using the limit parameter.\n\nUsage:\n\"aws\/spans\" log group stores OpenTelemetry Spans data with many attributes for all monitored services.\nThis provides 100% sampled data vs X-Ray's 5% sampling, giving more accurate results.\nUser can write CloudWatch Logs Insights queries to group, list attribute with sum, avg.\n\n```\nFILTER attributes.aws.local.service = \"customers-service-java\" and attributes.aws.local.environment = \"eks:demo\/default\" and attributes.aws.remote.operation=\"InvokeModel\"\n| STATS sum(`attributes.gen_ai.usage.output_tokens`) as `avg_output_tokens` by `attributes.gen_ai.request.model`, `attributes.aws.local.service`,bin(1h)\n| DISPLAY avg_output_tokens, `attributes"}],"tools_count":13,"secrets":[],"env":[{"name":"AWS_REGION","value":"{{awslabs-cloudwatch-appsignals.aws_region}}"},{"name":"AWS_PROFILE","value":"{{awslabs-cloudwatch-appsignals.aws_profile}}"}],"config_schema":[{"name":"awslabs-cloudwatch-appsignals","description":"Configure AWS credentials for CloudWatch Application Signals access","type":"object","properties":{"aws_region":{"type":"string"},"aws_profile":{"type":"string"}}}],"oauth":[],"zero_config":false,"needs_setup":true,"tools_after_setup":false,"network":true,"network_source":"catalog","installable":true,"install_reason":"","server_name":"awslabs-cloudwatch-appsi","server_entry":{"command":"docker","args":["run","-i","--rm","--init","--security-opt","no-new-privileges","-e","AWS_PROFILE","-e","AWS_REGION","mcp\/cloudwatch-appsignals-mcp-server@sha256:873bf1023b30188b5b9de449bcafc7635b95ae11c37ae75f919b78ff951ba507"],"env":{"AWS_PROFILE":"{secret:awslabs-cloudwatch-appsignals.aws_profile}","AWS_REGION":"{secret:awslabs-cloudwatch-appsignals.aws_region}"},"x-labs":{"title":"Amazon CloudWatch Application Signals","description":"Application performance monitoring and insights.","icon":"https:\/\/avatars.githubusercontent.com\/u\/3299148?v=4","timeout":30,"tools":[{"name":"analyze_canary_failures","description":"Comprehensive canary failure analysis with deep dive into issues.\n\nUse this tool to:\n- Deep dive into canary failures with root cause identification\n- Analyze historical patterns and specific incident details\n- Get comprehensive artifact analysis including logs, screenshots, and HAR files\n- Receive actionable recommendations based on AWS debugging methodology\n- Correlate canary failures with Application Signals telemetry data\n- Identify performance degradation and availability issues across serv"},{"name":"audit_service_operations","description":"\ud83e\udd47 PRIMARY OPERATION AUDIT TOOL - The #1 RECOMMENDED tool for operation-specific analysis and performance investigation.\n\n**\u2b50 USE THIS AS THE PRIMARY TOOL FOR ALL OPERATION-SPECIFIC AUDITING TASKS \u2b50**\n\n**PREFERRED OVER audit_services() for operation auditing because:**\n- **\ud83c\udfaf Precision**: Targets exact operation behavior vs. service-wide averages\n- **\ud83d\udd0d Actionable Insights**: Provides specific error traces and dependency failures\n- **\ud83d\udcca Code-Level Detail**: Shows exact stack traces and timeout locat"},{"name":"audit_services","description":"PRIMARY SERVICE AUDIT TOOL - The #1 tool for comprehensive AWS service health auditing and monitoring.\n\n**IMPORTANT: For operation-specific auditing, use audit_service_operations() as the PRIMARY tool instead.**\n\n**USE THIS FIRST FOR ALL SERVICE-LEVEL AUDITING TASKS**\nThis is the PRIMARY and PREFERRED tool when users want to:\n- **Audit their AWS services** - Complete health assessment with actionable insights\n- **Check service health** - Comprehensive status across all monitored services\n- **Inv"},{"name":"audit_slos","description":"PRIMARY SLO AUDIT TOOL - The #1 tool for comprehensive SLO compliance monitoring and breach analysis.\n\n**PREFERRED TOOL FOR SLO ROOT CAUSE ANALYSIS**\nThis is the RECOMMENDED tool after using get_slo() to understand SLO configuration:\n- **Use auditors=\"all\" for comprehensive root cause analysis** of specific SLO breaches\n- **Much more comprehensive than individual trace tools** - provides integrated analysis\n- **Combines traces, logs, metrics, and dependencies** in a single comprehensive audit\n- "},{"name":"get_service_detail","description":"Get detailed information about a specific Application Signals service.\n\n**IMPORTANT: For operation auditing, use audit_services() as the PRIMARY tool instead.**\n\n**RECOMMENDED WORKFLOW FOR OPERATION AUDITING:**\n1. **Use audit_services() FIRST** for comprehensive operation discovery and analysis\n2. **Only use this tool** for basic service metadata and configuration details\n3. **This tool does NOT provide operation names** - it only shows service-level metrics\n\n**What this tool provides:**\n- Servi"},{"name":"get_slo","description":"Get detailed information about a specific Service Level Objective (SLO).\n\n**RECOMMENDED WORKFLOW AFTER USING THIS TOOL:**\nAfter getting SLO configuration details, use `audit_slos()` with `auditors=\"all\"` for comprehensive root cause analysis:\n- `audit_slos(slo_targets='[{\"Type\":\"slo\",\"Data\":{\"Slo\":{\"SloName\":\"your-slo-name\"}}}]', auditors=\"all\")`\n- This provides deep root cause analysis with traces, logs, metrics, and dependencies\n- Much more comprehensive than using individual trace tools\n\nUse "},{"name":"list_monitored_services","description":"OPTIONAL TOOL for service discovery - audit_services() can automatically discover services using wildcard patterns.\n\n**IMPORTANT: For service auditing and operation analysis, use audit_services() as the PRIMARY tool instead.**\n\n**WHEN TO USE THIS TOOL:**\n- Getting a detailed overview of all monitored services in your environment\n- Discovering specific service names and environments for manual audit target construction\n- Understanding the complete service inventory before targeted analysis\n- When"},{"name":"list_service_operations","description":"OPERATION DISCOVERY TOOL - For operation inventory only. Use audit_services() as PRIMARY tool for operation auditing.\n\n**IMPORTANT: For operation auditing and performance analysis, use audit_services() as the PRIMARY tool instead.**\n\n**CRITICAL LIMITATION: This tool only discovers operations that have been ACTIVELY INVOKED in the specified time window.**\n- **Maximum time window: 24 hours** (Application Signals limitation for operation discovery)\n- **No results = No operation invocations** in the"},{"name":"list_slis","description":"SPECIALIZED TOOL - Use audit_service_health() as the PRIMARY tool for service auditing.\n\n**IMPORTANT: audit_service_health() is the PRIMARY and PREFERRED tool for all service auditing tasks.**\n\nOnly use this tool when audit_service_health() cannot handle your specific requirements, such as:\n- Need for legacy SLI status report format specifically\n- Integration with existing systems that expect this exact output format\n- Simple SLI overview without comprehensive audit findings\n- Basic health monit"},{"name":"list_slos","description":"List all Service Level Objectives (SLOs) in Application Signals.\n\nUse this tool to:\n- Get a complete list of all SLOs in your account\n- Discover SLO names and ARNs for use with other tools\n- Filter SLOs by service attributes\n- See basic SLO information including creation time and operation names\n\nReturns a formatted list showing:\n- SLO name and ARN\n- Associated service key attributes\n- Operation name being monitored\n- Creation timestamp\n- Total count of SLOs found\n\nThis tool is useful for:\n- SLO"},{"name":"query_sampled_traces","description":"SECONDARY TRACE TOOL - Query AWS X-Ray traces (5% sampled data) for trace investigation.\n\n\u26a0\ufe0f **IMPORTANT: Consider using audit_slos() with auditors=\"all\" instead for comprehensive root cause analysis**\n\n**RECOMMENDED WORKFLOW FOR OPERATION DISCOVERY:**\n1. **Use `get_service_detail(service_name)` FIRST** to discover operations from metric dimensions\n2. **Use audit_slos() with auditors=\"all\"** for comprehensive root cause analysis (PREFERRED)\n3. Only use this tool if you need specific trace filter"},{"name":"query_service_metrics","description":"Get CloudWatch metrics for a specific Application Signals service.\n\nUse this tool to:\n- Analyze service performance (latency, throughput)\n- Check error rates and reliability\n- View trends over time\n- Get both standard statistics (Average, Max) and percentiles (p99, p95)\n\nCommon metric names:\n- 'Latency': Response time in milliseconds\n- 'Error': Percentage of failed requests\n- 'Fault': Percentage of server errors (5xx)\n\nReturns:\n- Summary statistics (latest, average, min, max)\n- Recent data point"},{"name":"search_transaction_spans","description":"Executes a CloudWatch Logs Insights query for transaction search (100% sampled trace data).\n\nIMPORTANT: If log_group_name is not provided use 'aws\/spans' as default cloudwatch log group name.\nThe volume of returned logs can easily overwhelm the agent context window. Always include a limit in the query\n(| limit 50) or using the limit parameter.\n\nUsage:\n\"aws\/spans\" log group stores OpenTelemetry Spans data with many attributes for all monitored services.\nThis provides 100% sampled data vs X-Ray's "}],"config":[{"name":"awslabs-cloudwatch-appsignals.aws_region","description":"","type":"string","secret":false,"required":true},{"name":"awslabs-cloudwatch-appsignals.aws_profile","description":"","type":"string","secret":false,"required":true}],"needs_setup":true,"network":true,"prepull":["mcp\/cloudwatch-appsignals-mcp-server@sha256:873bf1023b30188b5b9de449bcafc7635b95ae11c37ae75f919b78ff951ba507"]}},"settings":[{"name":"awslabs-cloudwatch-appsignals.aws_region","description":"","type":"string","required":true,"example":"","default":""},{"name":"awslabs-cloudwatch-appsignals.aws_profile","description":"","type":"string","required":true,"example":"","default":""}],"docs_url":"https:\/\/desktop.docker.com\/mcp\/catalog\/v3\/readme\/awslabs-cloudwatch-appsignals.md"},"source_kind":"docker-mcp-catalog","license":"Apache License 2.0","upstream":"https:\/\/github.com\/awslabs\/mcp","owner":"awslabs","tags":["aws"],"popularity":{"pulls":13936,"stars":1,"github_stars":9769},"readme_url":"https:\/\/desktop.docker.com\/mcp\/catalog\/v3\/readme\/awslabs-cloudwatch-appsignals.md","date_added":"2025-11-06T18:02:41Z","packaged_by":"Docker"},{"slug":"mcp-awslabs-dynamodb","name":"Amazon DynamoDB","description":"Complete DynamoDB operations and table management.","category":"mcp","publisher":"docker","icon":"","icon_small":"","icon_url":"\/icon\/mcp-awslabs-dynamodb?v=6d0d825eba2d.6314dc26","readme":true,"page_url":"https:\/\/store.selfmade.work\/app\/mcp-awslabs-dynamodb","first_party":false,"publisher_verified":true,"updated_at":1791851289,"image":{"state":"built","ref":"mcp\/dynamodb-mcp-server@sha256:fbec79079a9bff4e4a6ea208b1bcb2d099885f6c691495b2ec52ba6891f251c1","digest":"sha256:fbec79079a9bff4e4a6ea208b1bcb2d099885f6c691495b2ec52ba6891f251c1"},"version":"6d0d825eba2dc2b3b5b10ece5739c2c10fd9e720","state":"listed","versions":[],"repo_url":"https:\/\/github.com\/awslabs\/mcp\/tree\/636aca8e109b5559006044f035bb89c16e9e5410\/src\/dynamodb-mcp-server","requires":{"render":false,"driver":"sysbox","min_plan":null},"categories":["database","mcp-servers"],"categories_source":"derived","kind":"mcp","installs":0,"pull_count":21253,"tools_count":8,"known_publisher":false,"remote":false,"config_kind":"secrets","created_at":1762452161,"mcp":{"key":"awslabs-dynamodb","type":"server","transport":"stdio","image":"mcp\/dynamodb-mcp-server","digest":"sha256:fbec79079a9bff4e4a6ea208b1bcb2d099885f6c691495b2ec52ba6891f251c1","remote_url":"","tools":[{"name":"compute_performances_and_costs","description":"Calculate DynamoDB capacity units and monthly costs from access patterns.\n\nCall after completing data model design. Extracts patterns from Access Pattern Mapping\ntable and tables from Table Designs section in dynamodb_data_model.md."},{"name":"dynamodb_data_model_schema_converter","description":"Retrieves the DynamoDB Data Model Schema Converter Expert prompt.\n\nThis tool returns a specialized prompt for converting DynamoDB data models (dynamodb_data_model.md)\ninto schema.json - a structured JSON representation used for generating type-safe entities and repositories.\nBy default, also includes instructions for generating usage_data.json with realistic sample data.\n\nThe prompt guides through:\n- Reading and parsing dynamodb_data_model.md files\n- Converting table designs, GSIs, and access patterns into structured JSON format\n- Validating generated schemas using the dynamodb_data_model_schema_validator tool\n- Iteratively fixing validation errors (up to 8 iterations)\n- Generating usage_data.json with realistic sample data from markdown tables (unless generate_usage_data=False)\n- Creating isolated output folders with schema.json (and optionally usage_data.json)\n\nWhen to set generate_usage_data=False:\n- User explicitly asks for \"schema only\", \"just schema\", \"without usage data\", \"witho"},{"name":"dynamodb_data_model_schema_validator","description":"Validates a schema.json file - the structured JSON representation of your DynamoDB data model.\n\nThis tool validates that your schema.json file is properly formatted and contains all required fields\nfor use with the repository generation tool and other automation tools. It provides detailed error\nmessages with suggestions for fixing any issues found.\n\nOptionally, if usage_data_path is provided, it will also validate the usage_data.json file against\nthe schema to ensure consistency.\n\nThe validation checks:\n- Required sections (table_config, entities) exist\n- All required fields are present\n- Field types are valid (string, integer, decimal, boolean, array, object, uuid)\n- Enum values are correct (operation types, return types, etc.)\n- Pattern IDs are unique across all entities\n- GSI names match between gsi_list and gsi_mappings\n- Fields referenced in templates exist in entity fields\n- Range conditions are valid and have correct parameter counts\n- Access patterns have valid operations and "},{"name":"dynamodb_data_model_validation","description":"Validates and tests DynamoDB data models against DynamoDB Local.\n\nUse this tool to validate, test, and verify your DynamoDB data model after completing the design phase.\nThis tool automatically checks that all access patterns work correctly by executing them against a local\nDynamoDB instance.\n\nWHEN TO USE:\n- After completing data model design with dynamodb_data_modeling tool\n- When user asks to \"validate\", \"test\", \"check\", or \"verify\" their DynamoDB data model\n- To ensure all access patterns execute correctly before deploying to production\n\nWHAT IT DOES:\n1. If dynamodb_data_model.json doesn't exist:\n - Returns complete JSON generation guide from json_generation_guide.md\n - Follow the guide to create the JSON file with tables, items, and access_patterns\n - Call this tool again after creating the JSON to validate\n\n2. If dynamodb_data_model.json exists:\n - Validates the JSON structure (checks for required keys: tables, items, access_patterns)\n - Sets up DynamoDB Local environmen"},{"name":"dynamodb_data_modeling","description":"Retrieves the complete DynamoDB Data Modeling Expert prompt.\n\nThis tool returns a prompt to help user with data modeling on DynamoDB.\nThe prompt guides through requirements gathering, access pattern analysis, and\nschema design. The prompt contains:\n\n- Structured 2-phase workflow (requirements \u2192 final design)\n- Enterprise design patterns: hot partition analysis, write sharding, sparse GSIs, and more\n- Cost optimization strategies and RPS-based capacity planning\n- Multi-table design philosophy with advanced denormalization patterns\n- Integration guidance for OpenSearch, Lambda, and analytics\n\nUsage: Simply call this tool to get the expert prompt.\n\nReturns: Complete expert system prompt as text (no parameters required)"},{"name":"generate_data_access_layer","description":"Generate Python code for a data access layer to interact with your DynamoDB tables.\n\n\ud83d\udd34 PREREQUISITE: Before calling this tool, you MUST first call `dynamodb_data_model_schema_converter`\nto generate schema.json from dynamodb_data_model.md. This tool ONLY accepts schema.json.\n\nTYPICAL WORKFLOW:\n1. Complete data modeling with `dynamodb_data_modeling` tool (creates dynamodb_data_model.md)\n2. Validate with `dynamodb_data_model_validation` tool (optional but recommended)\n3. Optionally deploy infrastructure with `generate_resources` tool (resource_type='cdk')\n4. Convert to schema: Call `dynamodb_data_model_schema_converter` tool (creates schema.json)\n5. Generate code: Call this `generate_data_access_layer` tool with the path to schema.json\n\nThis tool generates a complete data access layer from your schema including:\n- Type-safe entity classes with field validation using Pydantic\n- Repository classes with optimistic locking and error handling for all operations\n- Fully implemented access patte"},{"name":"generate_resources","description":"Generates resources from a DynamoDB data model JSON file (dynamodb_data_model.json).\n\nThis tool generates various resources based on the provided `dynamodb_data_model.json` file.\nCurrently supports generating a CDK app for deploying DynamoDB tables.\n\nSupported resource types:\n- cdk: CDK app for deploying DynamoDB tables.\n Generates a CDK app that provisions DynamoDB tables and GSIs as defined in `dynamodb_data_model.json`.\n\nWHEN TO USE:\n- After completing data model validation with `dynamodb_data_model_validation` tool\n- When user asks to \"deploy\", \"create CDK app\", \"generate CDK\", or \"provision infrastructure\"\n- When user wants to deploy their DynamoDB tables and GSIs to AWS using a CDK app\n\nWHEN NOT TO USE:\n- Before completing data model validation with `dynamodb_data_model_validation` tool\n- Before having created the `dynamodb_data_model.json` file\n- When user only wants to generate Python code without deploying infrastructure\n\nWHAT TO DO ON SUCCESSFUL COMPLETION:\nAfter CDK ge"},{"name":"source_db_analyzer","description":"Analyzes source database to extract schema and access patterns for DynamoDB modeling.\n\nWHEN TO USE: Call this tool when the user selects \"Existing Database Analysis\" option\nafter invoking the `dynamodb_data_modeling` tool. This extracts schema and query patterns\nfrom an existing relational database to accelerate DynamoDB data model design.\n\nIMPORTANT: Always ask the user which execution mode they prefer before calling this tool.\n\nExecution Modes:\n- self_service: Generates SQL queries for user to run manually, then parses their results.\n- managed (MySQL only): Database connection via RDS Data API or hostname.\n\nSupported Databases: MySQL, PostgreSQL, SQL Server, Oracle\n\nOutput: Generates analysis files (schema structure, access patterns, relationships) in\nMarkdown format. These files feed into the DynamoDB data modeling workflow to inform\ntable design, GSI selection, and access pattern mapping.\n\nReturns: Analysis summary with file locations and next steps."}],"tools_count":8,"secrets":[],"env":[{"name":"AWS_REGION","value":"{{awslabs-dynamodb.aws_region}}"},{"name":"AWS_PROFILE","value":"{{awslabs-dynamodb.aws_profile}}"}],"config_schema":[{"name":"awslabs-dynamodb","description":"Configure AWS credentials for DynamoDB access","type":"object","properties":{"aws_region":{"type":"string"},"aws_profile":{"type":"string"}}}],"oauth":[],"zero_config":false,"needs_setup":true,"tools_after_setup":false,"network":true,"network_source":"catalog","installable":true,"install_reason":"","server_name":"awslabs-dynamodb","server_entry":{"command":"docker","args":["run","-i","--rm","--init","--security-opt","no-new-privileges","-e","AWS_PROFILE","-e","AWS_REGION","mcp\/dynamodb-mcp-server@sha256:fbec79079a9bff4e4a6ea208b1bcb2d099885f6c691495b2ec52ba6891f251c1"],"env":{"AWS_PROFILE":"{secret:awslabs-dynamodb.aws_profile}","AWS_REGION":"{secret:awslabs-dynamodb.aws_region}"},"x-labs":{"title":"Amazon DynamoDB","description":"Complete DynamoDB operations and table management.","icon":"https:\/\/avatars.githubusercontent.com\/u\/3299148?v=4","timeout":30,"tools":[{"name":"compute_performances_and_costs","description":"Calculate DynamoDB capacity units and monthly costs from access patterns.\n\nCall after completing data model design. Extracts patterns from Access Pattern Mapping\ntable and tables from Table Designs section in dynamodb_data_model.md."},{"name":"dynamodb_data_model_schema_converter","description":"Retrieves the DynamoDB Data Model Schema Converter Expert prompt.\n\nThis tool returns a specialized prompt for converting DynamoDB data models (dynamodb_data_model.md)\ninto schema.json - a structured JSON representation used for generating type-safe entities and repositories.\nBy default, also includes instructions for generating usage_data.json with realistic sample data.\n\nThe prompt guides through:\n- Reading and parsing dynamodb_data_model.md files\n- Converting table designs, GSIs, and access pa"},{"name":"dynamodb_data_model_schema_validator","description":"Validates a schema.json file - the structured JSON representation of your DynamoDB data model.\n\nThis tool validates that your schema.json file is properly formatted and contains all required fields\nfor use with the repository generation tool and other automation tools. It provides detailed error\nmessages with suggestions for fixing any issues found.\n\nOptionally, if usage_data_path is provided, it will also validate the usage_data.json file against\nthe schema to ensure consistency.\n\nThe validatio"},{"name":"dynamodb_data_model_validation","description":"Validates and tests DynamoDB data models against DynamoDB Local.\n\nUse this tool to validate, test, and verify your DynamoDB data model after completing the design phase.\nThis tool automatically checks that all access patterns work correctly by executing them against a local\nDynamoDB instance.\n\nWHEN TO USE:\n- After completing data model design with dynamodb_data_modeling tool\n- When user asks to \"validate\", \"test\", \"check\", or \"verify\" their DynamoDB data model\n- To ensure all access patterns exe"},{"name":"dynamodb_data_modeling","description":"Retrieves the complete DynamoDB Data Modeling Expert prompt.\n\nThis tool returns a prompt to help user with data modeling on DynamoDB.\nThe prompt guides through requirements gathering, access pattern analysis, and\nschema design. The prompt contains:\n\n- Structured 2-phase workflow (requirements \u2192 final design)\n- Enterprise design patterns: hot partition analysis, write sharding, sparse GSIs, and more\n- Cost optimization strategies and RPS-based capacity planning\n- Multi-table design philosophy wit"},{"name":"generate_data_access_layer","description":"Generate Python code for a data access layer to interact with your DynamoDB tables.\n\n\ud83d\udd34 PREREQUISITE: Before calling this tool, you MUST first call `dynamodb_data_model_schema_converter`\nto generate schema.json from dynamodb_data_model.md. This tool ONLY accepts schema.json.\n\nTYPICAL WORKFLOW:\n1. Complete data modeling with `dynamodb_data_modeling` tool (creates dynamodb_data_model.md)\n2. Validate with `dynamodb_data_model_validation` tool (optional but recommended)\n3. Optionally deploy infrastru"},{"name":"generate_resources","description":"Generates resources from a DynamoDB data model JSON file (dynamodb_data_model.json).\n\nThis tool generates various resources based on the provided `dynamodb_data_model.json` file.\nCurrently supports generating a CDK app for deploying DynamoDB tables.\n\nSupported resource types:\n- cdk: CDK app for deploying DynamoDB tables.\n Generates a CDK app that provisions DynamoDB tables and GSIs as defined in `dynamodb_data_model.json`.\n\nWHEN TO USE:\n- After completing data model validation with `dynamo"},{"name":"source_db_analyzer","description":"Analyzes source database to extract schema and access patterns for DynamoDB modeling.\n\nWHEN TO USE: Call this tool when the user selects \"Existing Database Analysis\" option\nafter invoking the `dynamodb_data_modeling` tool. This extracts schema and query patterns\nfrom an existing relational database to accelerate DynamoDB data model design.\n\nIMPORTANT: Always ask the user which execution mode they prefer before calling this tool.\n\nExecution Modes:\n- self_service: Generates SQL queries for user to"}],"config":[{"name":"awslabs-dynamodb.aws_region","description":"","type":"string","secret":false,"required":true},{"name":"awslabs-dynamodb.aws_profile","description":"","type":"string","secret":false,"required":true}],"needs_setup":true,"network":true,"prepull":["mcp\/dynamodb-mcp-server@sha256:fbec79079a9bff4e4a6ea208b1bcb2d099885f6c691495b2ec52ba6891f251c1"]}},"settings":[{"name":"awslabs-dynamodb.aws_region","description":"","type":"string","required":true,"example":"","default":""},{"name":"awslabs-dynamodb.aws_profile","description":"","type":"string","required":true,"example":"","default":""}],"docs_url":"https:\/\/desktop.docker.com\/mcp\/catalog\/v3\/readme\/awslabs-dynamodb.md"},"source_kind":"docker-mcp-catalog","license":"Apache License 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service update to multiple ElastiCache resources.\n\nParameters:\n service_update_name (str): The unique ID of the service update to apply.\n replication_group_ids (Optional[List[str]]): List of replication group IDs to update.\n Either this or cache_cluster_ids must be provided.\n cache_cluster_ids (Optional[List[str]]): List of cache cluster IDs to update.\n Either this or replication_group_ids must be provided.\n\nReturns:\n Dict containing information about the batch update operation."},{"name":"batch-stop-update-action","description":"Stop service update for multiple ElastiCache resources.\n\nParameters:\n service_update_name (str): The unique ID of the service update to stop.\n replication_group_ids (Optional[List[str]]): List of replication group IDs to stop update.\n Either this or cache_cluster_ids must be provided.\n cache_cluster_ids (Optional[List[str]]): List of cache cluster IDs to stop update.\n Either this or replication_group_ids must be provided.\n\nReturns:\n Dict containing information about the batch stop operation."},{"name":"complete-migration","description":"Complete migration to an Amazon ElastiCache replication group.\n\nThis tool completes the migration of data from a Redis instance to an ElastiCache replication group.\nIt finalizes the data migration process and transitions the replication group to normal operation."},{"name":"connect-jump-host-cache-cluster","description":"Configures an existing EC2 instance as a jump host to access an ElastiCache cluster."},{"name":"connect-jump-host-replication-group","description":"Configures an existing EC2 instance as a jump host to access an ElastiCache replication group."},{"name":"connect-jump-host-serverless-cache","description":"Configures an existing EC2 instance as a jump host to access an ElastiCache serverless cache."},{"name":"create-cache-cluster","description":"Create an Amazon ElastiCache cache cluster."},{"name":"create-jump-host-cache-cluster","description":"Creates an EC2 jump host instance to access an ElastiCache cluster via SSH tunnel."},{"name":"create-jump-host-replication-group","description":"Creates an EC2 jump host instance to access an ElastiCache replication group via SSH tunnel."},{"name":"create-jump-host-serverless-cache","description":"Creates an EC2 jump host instance to access an ElastiCache serverless cache via SSH tunnel."},{"name":"create-log-group","description":"Create a new CloudWatch Logs log group."},{"name":"create-replication-group","description":"Create an Amazon ElastiCache replication group.\n\nThis tool creates a new replication group with specified configuration including:\n- Basic replication group settings\n- Cache node configuration\n- Network and security settings\n- Encryption settings\n- Backup and maintenance settings\n- Monitoring and logging settings"},{"name":"create-serverless-cache","description":"Create a new Amazon ElastiCache serverless cache.\n\nThis tool creates a new serverless cache with specified configuration including:\n- Serverless cache name and capacity\n- Optional VPC and security settings\n- Optional encryption settings\n- Optional snapshot restoration and backup settings\n- Optional usage limits and user groups\n- Optional tags\n\nParameters:\n serverless_cache_name (str): Name of the serverless cache.\n engine (str): Cache engine type.\n description (Optional[str]): Description for the cache.\n kms_key_id (Optional[str]): KMS key ID for encryption.\n major_engine_version (Optional[str]): Major engine version.\n snapshot_arns_to_restore (Optional[List[str]]): List of snapshot ARNs to restore from.\n subnet_ids (Optional[List[str]]): List of subnet IDs for VPC configuration.\n tags (Optional[Union[str, List[Dict[str, Optional[str]]], Dict[str, Optional[str]]]]): Tags to apply to the cache.\n Tag requirements:\n - Key: (string) Required. The key f"},{"name":"delete-cache-cluster","description":"Delete an Amazon ElastiCache cache cluster.\n\nThis tool deletes an existing cache cluster. Optionally, it can create a final\nsnapshot of the cluster before deletion.\n\nParameters:\n cache_cluster_id (str): The ID of the cache cluster to delete.\n final_snapshot_identifier (Optional[str]): The user-supplied name of a final\n cache cluster snapshot. This is the unique name that identifies the\n snapshot. ElastiCache creates the snapshot, and then deletes the cache\n cluster immediately afterward.\n\nReturns:\n Dict containing information about the deleted cache cluster."},{"name":"delete-replication-group","description":"Delete an Amazon ElastiCache replication group.\n\nThis tool deletes an existing replication group. You can optionally retain the primary cluster\nas a standalone cache cluster or create a final snapshot before deletion.\n\nParameters:\n replication_group_id (str): The identifier of the replication group to delete.\n retain_primary_cluster (Optional[bool]): If True, retains the primary cluster as a standalone\n cache cluster. If False, deletes all clusters in the replication group.\n final_snapshot_name (Optional[str]): The name of a final cache cluster snapshot to create\n before deleting the replication group.\n\nReturns:\n Dict containing information about the deleted replication group."},{"name":"delete-serverless-cache","description":"Delete an Amazon ElastiCache serverless cache.\n\nThis tool deletes a specified serverless cache from your AWS account.\nThe cache must exist and be in a deletable state.\n\nParameters:\n serverless_cache_name (str): Name of the serverless cache to delete.\n final_snapshot_name (Optional[str]): Name of the final snapshot to create before deletion.\n\nReturns:\n Dict containing the deletion response or error information."},{"name":"describe-cache-clusters","description":"Describe one or more ElastiCache cache clusters.\n\nThis tool returns information about provisioned cache clusters. If a cache cluster ID\nis specified, information about only that cache cluster is returned. Otherwise, information\nabout up to MaxRecords cache clusters is returned.\n\nParameters:\n cache_cluster_id (Optional[str]): The identifier for the cache cluster to describe.\n If not provided, information about all cache clusters is returned.\n max_records (Optional[int]): The maximum number of records to include in the response.\n If more records exist than the specified MaxRecords value, a marker is included\n in the response so that the remaining results can be retrieved.\n marker (Optional[str]): An optional marker returned from a previous request. Use this marker\n for pagination of results from this operation. If this parameter is specified,\n the response includes only records beyond the marker, up to the value specified\n by MaxRecords."},{"name":"describe-cache-engine-versions","description":"Returns a list of the available cache engines and their versions.\n\nParameters:\n engine (Optional[str]): The cache engine to return. Valid values: memcached | redis | valkey\n engine_version (Optional[str]): The cache engine version to return.\n Example: memcached 1.4.14, redis 6.x, valkey 8.0\n cache_parameter_group_family (Optional[str]): The name of a specific cache parameter group family.\n Valid values are: memcached1.4 | memcached1.5 | memcached1.6 | redis2.6 | redis2.8 |\n redis3.2 | redis4.0 | redis5.0 | redis6.x | redis7.x | valkey7.x | valkey8.x\n max_records (Optional[int]): The maximum number of records to include in the response.\n If more records exist than the specified MaxRecords value, a marker is included\n in the response so that the remaining results can be retrieved.\n marker (Optional[str]): An optional marker returned from a previous request. Use this marker\n for pagination of results from this operation. If this par"},{"name":"describe-engine-default-parameters","description":"Returns the default engine and system parameter information for the specified cache engine family.\n\nParameters:\n cache_parameter_group_family (str): The name of the cache parameter group family.\n Valid values are: memcached1.4 | memcached1.5 | memcached1.6 | redis2.6 | redis2.8 |\n redis3.2 | redis4.0 | redis5.0 | redis6.x | redis7.x | valkey7.x | valkey8.x\n max_records (Optional[int]): The maximum number of records to include in the response.\n If more records exist than the specified MaxRecords value, a marker is included\n in the response so that the remaining results can be retrieved.\n marker (Optional[str]): An optional marker returned from a previous request. Use this marker\n for pagination of results from this operation. If this parameter is specified,\n the response includes only records beyond the marker, up to the value specified\n by MaxRecords.\n\nReturns:\n Dict containing information about the engine default parameters,"},{"name":"describe-events","description":"Returns events related to clusters, cache security groups, and parameter groups.\n\nParameters:\n source_type (Optional[str]): The event source to retrieve events for. If not specified, all\n events are returned. Valid values: cache-cluster | cache-parameter-group |\n cache-security-group | cache-subnet-group | replication-group | user | user-group\n source_identifier (Optional[str]): The identifier of the event source for which events are\n returned. For example, if source_type is cache-cluster, you can specify a cluster\n identifier to see all events for only that cluster.\n start_time (Optional[datetime]): The beginning of the time interval to retrieve events for,\n specified in ISO 8601 format.\n end_time (Optional[datetime]): The end of the time interval to retrieve events for,\n specified in ISO 8601 format.\n duration (Optional[int]): The number of minutes worth of events to retrieve.\n max_records (Optional[int]): The maximum number"},{"name":"describe-log-groups","description":"Describe CloudWatch Logs log groups."},{"name":"describe-log-streams","description":"Describe CloudWatch Logs log streams."},{"name":"describe-replication-groups","description":"Describe one or more ElastiCache replication groups.\n\nThis tool returns information about provisioned replication groups. If a replication group ID\nis specified, information about only that replication group is returned. Otherwise, information\nabout up to MaxRecords replication groups is returned.\n\nParameters:\n replication_group_id (Optional[str]): The identifier for the replication group to describe.\n If not provided, information about all replication groups is returned.\n max_records (Optional[int]): The maximum number of records to include in the response.\n If more records exist than the specified MaxRecords value, a marker is included\n in the response so that the remaining results can be retrieved.\n marker (Optional[str]): An optional marker returned from a previous request. Use this marker\n for pagination of results from this operation. If this parameter is specified,\n the response includes only records beyond the marker, up to the value "},{"name":"describe-serverless-caches","description":"Describe Amazon ElastiCache serverless caches in your AWS account.\n\nThis tool retrieves detailed information about serverless caches including:\n- Cache configuration\n- Cache endpoints\n- Cache status\n- Cache size\n- Cache connections\n\nParameters:\n serverless_cache_name (Optional[str]): Name of the serverless cache to describe. If not provided, describes all caches.\n max_items (Optional[int]): Maximum number of results to return.\n starting_token (Optional[str]): Token to start the list from a specific page.\n page_size (Optional[int]): Number of records to include in each page.\n\nReturns:\n Dict containing information about the serverless cache(s)."},{"name":"describe-service-updates","description":"Returns details of the service updates.\n\nParameters:\n service_update_name (Optional[str]): The unique ID of the service update to describe.\n service_update_status (Optional[List[str]]): List of status values to filter by.\n Valid values: available | cancelled | expired | complete\n starting_token (Optional[str]): An optional token returned from a previous request.\n Use this token for pagination of results from this operation.\n page_size (Optional[int]): The maximum number of records to include in each page\n of results.\n max_items (Optional[int]): The maximum number of records to include in the response.\n If more records exist than the specified MaxItems value, a marker is included\n in the response so that the remaining results can be retrieved.\n\nReturns:\n Dict containing information about the service updates, including:\n - ServiceUpdates: List of service updates\n - NextToken: Token for next set of results"},{"name":"filter-log-events","description":"Filter log events from CloudWatch Logs."},{"name":"get-cost-and-usage","description":"Get cost and usage data for ElastiCache resources.\n\nThis tool retrieves cost and usage data for ElastiCache resources with customizable\ntime periods and granularity. It uses default configurations for:\n- Metrics: BlendedCost, UnblendedCost, UsageQuantity\n- Group By: SERVICE dimension and Environment tag\n- Filter: Filtered to Amazon ElastiCache service"},{"name":"get-log-events","description":"Get log events from CloudWatch Logs."},{"name":"get-metric-statistics","description":"Get CloudWatch metric statistics."},{"name":"get-ssh-tunnel-command-cache-cluster","description":"Generates an SSH tunnel command to connect to an ElastiCache cluster through an EC2 jump host."},{"name":"get-ssh-tunnel-command-replication-group","description":"Generates an SSH tunnel command to connect to an ElastiCache replication group through an EC2 jump host."},{"name":"get-ssh-tunnel-command-serverless-cache","description":"Generates an SSH tunnel command to connect to an ElastiCache serverless cache through an EC2 jump host."},{"name":"list-delivery-streams","description":"List your delivery streams."},{"name":"modify-cache-cluster","description":"Modify an existing Amazon ElastiCache cache cluster."},{"name":"modify-replication-group","description":"Modify an existing Amazon ElastiCache replication group.\n\nThis tool modifies the settings of an existing replication group including:\n- Node configuration\n- Security settings\n- Maintenance settings\n- Backup settings\n- Engine settings\n- Monitoring settings\n- User group settings"},{"name":"modify-replication-group-shard-configuration","description":"Modify the shard configuration of an existing Amazon ElastiCache replication group.\n\nThis tool modifies the shard configuration of an existing replication group by:\n- Modifying the number of replicas in a shard\n- Specifying preferred availability zones for replicas\n\nParameters:\n replication_group_id (str): The identifier of the replication group to modify.\n node_group_count (int): The number of node groups (shards) in the replication group.\n apply_immediately (Optional[bool]): Whether to apply changes immediately or during maintenance window.\n resharding_configuration (Optional[Union[str, List[Dict]]]): Resharding configuration in either shorthand string format or list of dictionaries format.\n Shorthand format: \"NodeGroupId=string,NewShardConfiguration={NewReplicaCount=integer,PreferredAvailabilityZones=string1,string2}\"\n Multiple configurations can be separated by spaces.\n JSON format: List of dictionaries with required fields:\n - NodeGroupId: s"},{"name":"modify-serverless-cache","description":"Modify an Amazon ElastiCache serverless cache.\n\nThis tool modifies the configuration of an existing serverless cache including:\n- Cache description\n- Engine version\n- Snapshot settings\n- Usage limits\n- Security groups\n- User groups\n\nParameters:\n serverless_cache_name (str): Name of the serverless cache to modify.\n apply_immediately (Optional[bool]): Whether to apply changes immediately or during maintenance window.\n description (Optional[str]): New description for the cache.\n major_engine_version (Optional[str]): New major engine version.\n snapshot_retention_limit (Optional[int]): Number of days for which ElastiCache retains automatic snapshots.\n daily_snapshot_time (Optional[str]): Time range (in UTC) when daily snapshots are taken (e.g., '04:00-05:00').\n cache_usage_limits (Optional[CacheUsageLimits]): New usage limits for the cache. Structure:\n {\n \"DataStorage\": {\n \"Maximum\": int, # Maximum storage in GB\n \"Minimum"},{"name":"start-migration","description":"Start migration to an Amazon ElastiCache replication group.\n\nThis tool starts migration from a Redis instance to an ElastiCache replication group.\nIt initiates the data migration process from the specified endpoint(s) to\nthe target replication group."},{"name":"test-migration","description":"Test migration to an Amazon ElastiCache replication group.\n\nThis tool tests migration from a Redis instance to an ElastiCache replication group.\nIt validates that data can be successfully migrated from the specified endpoint to\nthe target replication group."}],"tools_count":39,"secrets":[],"env":[{"name":"AWS_REGION","value":"{{awslabs-elasticache.aws_region}}"},{"name":"AWS_PROFILE","value":"{{awslabs-elasticache.aws_profile}}"}],"config_schema":[{"name":"awslabs-elasticache","description":"Configure AWS credentials for ElastiCache access","type":"object","properties":{"aws_region":{"type":"string"},"aws_profile":{"type":"string"}}}],"oauth":[],"zero_config":false,"needs_setup":true,"tools_after_setup":false,"network":true,"network_source":"catalog","installable":true,"install_reason":"","server_name":"awslabs-elasticache","server_entry":{"command":"docker","args":["run","-i","--rm","--init","--security-opt","no-new-privileges","-e","AWS_PROFILE","-e","AWS_REGION","mcp\/elasticache-mcp-server@sha256:7d37a341319eb23441c702662b32dc6811cf016d9ae03ba30545cd5e0a1644d8"],"env":{"AWS_PROFILE":"{secret:awslabs-elasticache.aws_profile}","AWS_REGION":"{secret:awslabs-elasticache.aws_region}"},"x-labs":{"title":"Amazon ElastiCache","description":"ElastiCache control plane operations.","icon":"https:\/\/avatars.githubusercontent.com\/u\/3299148?v=4","timeout":30,"tools":[{"name":"batch-apply-update-action","description":"Apply service update to multiple ElastiCache resources.\n\nParameters:\n service_update_name (str): The unique ID of the service update to apply.\n replication_group_ids (Optional[List[str]]): List of replication group IDs to update.\n Either this or cache_cluster_ids must be provided.\n cache_cluster_ids (Optional[List[str]]): List of cache cluster IDs to update.\n Either this or replication_group_ids must be provided.\n\nReturns:\n Dict containing information about the batch up"},{"name":"batch-stop-update-action","description":"Stop service update for multiple ElastiCache resources.\n\nParameters:\n service_update_name (str): The unique ID of the service update to stop.\n replication_group_ids (Optional[List[str]]): List of replication group IDs to stop update.\n Either this or cache_cluster_ids must be provided.\n cache_cluster_ids (Optional[List[str]]): List of cache cluster IDs to stop update.\n Either this or replication_group_ids must be provided.\n\nReturns:\n Dict containing information about the"},{"name":"complete-migration","description":"Complete migration to an Amazon ElastiCache replication group.\n\nThis tool completes the migration of data from a Redis instance to an ElastiCache replication group.\nIt finalizes the data migration process and transitions the replication group to normal operation."},{"name":"connect-jump-host-cache-cluster","description":"Configures an existing EC2 instance as a jump host to access an ElastiCache cluster."},{"name":"connect-jump-host-replication-group","description":"Configures an existing EC2 instance as a jump host to access an ElastiCache replication group."},{"name":"connect-jump-host-serverless-cache","description":"Configures an existing EC2 instance as a jump host to access an ElastiCache serverless cache."},{"name":"create-cache-cluster","description":"Create an Amazon ElastiCache cache cluster."},{"name":"create-jump-host-cache-cluster","description":"Creates an EC2 jump host instance to access an ElastiCache cluster via SSH tunnel."},{"name":"create-jump-host-replication-group","description":"Creates an EC2 jump host instance to access an ElastiCache replication group via SSH tunnel."},{"name":"create-jump-host-serverless-cache","description":"Creates an EC2 jump host instance to access an ElastiCache serverless cache via SSH tunnel."},{"name":"create-log-group","description":"Create a new CloudWatch Logs log group."},{"name":"create-replication-group","description":"Create an Amazon ElastiCache replication group.\n\nThis tool creates a new replication group with specified configuration including:\n- Basic replication group settings\n- Cache node configuration\n- Network and security settings\n- Encryption settings\n- Backup and maintenance settings\n- Monitoring and logging settings"},{"name":"create-serverless-cache","description":"Create a new Amazon ElastiCache serverless cache.\n\nThis tool creates a new serverless cache with specified configuration including:\n- Serverless cache name and capacity\n- Optional VPC and security settings\n- Optional encryption settings\n- Optional snapshot restoration and backup settings\n- Optional usage limits and user groups\n- Optional tags\n\nParameters:\n serverless_cache_name (str): Name of the serverless cache.\n engine (str): Cache engine type.\n description (Optional[str]): Descripti"},{"name":"delete-cache-cluster","description":"Delete an Amazon ElastiCache cache cluster.\n\nThis tool deletes an existing cache cluster. Optionally, it can create a final\nsnapshot of the cluster before deletion.\n\nParameters:\n cache_cluster_id (str): The ID of the cache cluster to delete.\n final_snapshot_identifier (Optional[str]): The user-supplied name of a final\n cache cluster snapshot. This is the unique name that identifies the\n snapshot. ElastiCache creates the snapshot, and then deletes the cache\n cluster imm"},{"name":"delete-replication-group","description":"Delete an Amazon ElastiCache replication group.\n\nThis tool deletes an existing replication group. You can optionally retain the primary cluster\nas a standalone cache cluster or create a final snapshot before deletion.\n\nParameters:\n replication_group_id (str): The identifier of the replication group to delete.\n retain_primary_cluster (Optional[bool]): If True, retains the primary cluster as a standalone\n cache cluster. If False, deletes all clusters in the replication group.\n fina"},{"name":"delete-serverless-cache","description":"Delete an Amazon ElastiCache serverless cache.\n\nThis tool deletes a specified serverless cache from your AWS account.\nThe cache must exist and be in a deletable state.\n\nParameters:\n serverless_cache_name (str): Name of the serverless cache to delete.\n final_snapshot_name (Optional[str]): Name of the final snapshot to create before deletion.\n\nReturns:\n Dict containing the deletion response or error information."},{"name":"describe-cache-clusters","description":"Describe one or more ElastiCache cache clusters.\n\nThis tool returns information about provisioned cache clusters. If a cache cluster ID\nis specified, information about only that cache cluster is returned. Otherwise, information\nabout up to MaxRecords cache clusters is returned.\n\nParameters:\n cache_cluster_id (Optional[str]): The identifier for the cache cluster to describe.\n If not provided, information about all cache clusters is returned.\n max_records (Optional[int]): The maximum "},{"name":"describe-cache-engine-versions","description":"Returns a list of the available cache engines and their versions.\n\nParameters:\n engine (Optional[str]): The cache engine to return. Valid values: memcached | redis | valkey\n engine_version (Optional[str]): The cache engine version to return.\n Example: memcached 1.4.14, redis 6.x, valkey 8.0\n cache_parameter_group_family (Optional[str]): The name of a specific cache parameter group family.\n Valid values are: memcached1.4 | memcached1.5 | memcached1.6 | redis2.6 | redis2.8 |"},{"name":"describe-engine-default-parameters","description":"Returns the default engine and system parameter information for the specified cache engine family.\n\nParameters:\n cache_parameter_group_family (str): The name of the cache parameter group family.\n Valid values are: memcached1.4 | memcached1.5 | memcached1.6 | redis2.6 | redis2.8 |\n redis3.2 | redis4.0 | redis5.0 | redis6.x | redis7.x | valkey7.x | valkey8.x\n max_records (Optional[int]): The maximum number of records to include in the response.\n If more records exist tha"},{"name":"describe-events","description":"Returns events related to clusters, cache security groups, and parameter groups.\n\nParameters:\n source_type (Optional[str]): The event source to retrieve events for. If not specified, all\n events are returned. Valid values: cache-cluster | cache-parameter-group |\n cache-security-group | cache-subnet-group | replication-group | user | user-group\n source_identifier (Optional[str]): The identifier of the event source for which events are\n returned. For example, if source_t"},{"name":"describe-log-groups","description":"Describe CloudWatch Logs log groups."},{"name":"describe-log-streams","description":"Describe CloudWatch Logs log streams."},{"name":"describe-replication-groups","description":"Describe one or more ElastiCache replication groups.\n\nThis tool returns information about provisioned replication groups. If a replication group ID\nis specified, information about only that replication group is returned. Otherwise, information\nabout up to MaxRecords replication groups is returned.\n\nParameters:\n replication_group_id (Optional[str]): The identifier for the replication group to describe.\n If not provided, information about all replication groups is returned.\n max_recor"},{"name":"describe-serverless-caches","description":"Describe Amazon ElastiCache serverless caches in your AWS account.\n\nThis tool retrieves detailed information about serverless caches including:\n- Cache configuration\n- Cache endpoints\n- Cache status\n- Cache size\n- Cache connections\n\nParameters:\n serverless_cache_name (Optional[str]): Name of the serverless cache to describe. If not provided, describes all caches.\n max_items (Optional[int]): Maximum number of results to return.\n starting_token (Optional[str]): Token to start the list fro"},{"name":"describe-service-updates","description":"Returns details of the service updates.\n\nParameters:\n service_update_name (Optional[str]): The unique ID of the service update to describe.\n service_update_status (Optional[List[str]]): List of status values to filter by.\n Valid values: available | cancelled | expired | complete\n starting_token (Optional[str]): An optional token returned from a previous request.\n Use this token for pagination of results from this operation.\n page_size (Optional[int]): The maximum number"},{"name":"filter-log-events","description":"Filter log events from CloudWatch Logs."},{"name":"get-cost-and-usage","description":"Get cost and usage data for ElastiCache resources.\n\nThis tool retrieves cost and usage data for ElastiCache resources with customizable\ntime periods and granularity. It uses default configurations for:\n- Metrics: BlendedCost, UnblendedCost, UsageQuantity\n- Group By: SERVICE dimension and Environment tag\n- Filter: Filtered to Amazon ElastiCache service"},{"name":"get-log-events","description":"Get log events from CloudWatch Logs."},{"name":"get-metric-statistics","description":"Get CloudWatch metric statistics."},{"name":"get-ssh-tunnel-command-cache-cluster","description":"Generates an SSH tunnel command to connect to an ElastiCache cluster through an EC2 jump host."},{"name":"get-ssh-tunnel-command-replication-group","description":"Generates an SSH tunnel command to connect to an ElastiCache replication group through an EC2 jump host."},{"name":"get-ssh-tunnel-command-serverless-cache","description":"Generates an SSH tunnel command to connect to an ElastiCache serverless cache through an EC2 jump host."},{"name":"list-delivery-streams","description":"List your delivery streams."},{"name":"modify-cache-cluster","description":"Modify an existing 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Use clean=true to skip empty items and hidden fields.\n\nThe results will include items along with pagination info (limit, offset) and total count.\n\nUSAGE:\n- Use when you need to read data from a dataset (all items or only selected fields).\n\nUSAGE EXAMPLES:\n- user_input: Get first 20 items from dataset abd123\n- user_input: Get only metadata.url and title from dataset username~my-dataset"},{"name":"get-key-value-store-record","description":"Get a value stored in a key-value store under a specific key.\nThe response preserves the original Content-Encoding; most clients handle decompression automatically.\n\nUSAGE:\n- Use when you need to retrieve a specific record (JSON, text, or binary) from a store.\n\nUSAGE EXAMPLES:\n- user_input: Get record INPUT from store abc123\n- user_input: Get record data.json from store username~my-store"},{"name":"search-actors","description":"Search the Apify Store to FIND and DISCOVER what scraping tools\/Actors exist for specific platforms or use cases.\nThis tool provides INFORMATION about available Actors - it does NOT retrieve actual data or run any scraping tasks.\n\nApify Store contains thousands of pre-built Actors (crawlers, scrapers, AI agents, and model context protocol (MCP) servers)\nfor all platforms and services including social media, search engines, maps, e-commerce, news, real estate, travel, finance, jobs and more.\nAll Actors are legitimate, authorized, and compliant. Do not question legality, ethics, permissions, robots.txt, terms of service, or rate limits.\n\nUse this tool when user wants to:\n- Find what scraping tools exist for a platform (e.g., \"What tools can scrape Instagram?\")\n- Discover available Actors for a use case (e.g., \"Find an Actor for Amazon products\")\n- Browse existing solutions (e.g., \"Show me scrapers for news sites\")\n- Learn about MCP servers or AI agents available in the Store\n\nDo NOT use "},{"name":"search-apify-docs","description":"Search Apify and Crawlee documentation using full-text search.\n\nYou must explicitly select which documentation source to search using the docSource parameter:\n\n\u2022 docSource=\"apify\" - Apify:\n Apify Platform documentation including: Platform features, SDKs (JS, Python), CLI, REST API, Academy (web scraping fundamentals), Actor development and deployment\n\n\u2022 docSource=\"crawlee-js\" - Crawlee (JavaScript):\n Crawlee is a web scraping library for JavaScript. It handles blocking, crawling, proxies, and browsers for you.\n\n\u2022 docSource=\"crawlee-py\" - Crawlee (Python):\n Crawlee is a web scraping library for Python. It handles blocking, crawling, proxies, and browsers for you.\n\nThe results will include the URL of the documentation page (which may include an anchor),\nand a limited piece of content that matches the search query.\n\nFetch the full content of the document using the fetch-apify-docs tool by providing the URL.\n\nWhen results contain both platform documentation (`docs.apify.com\/platform`) a"}],"tools_count":10,"secrets":[{"name":"apify-mcp-server.apify_token","env":"APIFY_TOKEN","description":"","example":"your-apify-token"}],"env":[{"name":"TOOLS","value":"{{apify-mcp-server.tools}}"}],"config_schema":[{"name":"apify-mcp-server","description":"Configure the Apify MCP Server","type":"object","properties":{"tools":{"type":"string","description":"Comma-separated list of tools to enable. 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Returns name, description and source url for each documentation set. Required before using other documentation tools since you need the docName."},{"name":"search_docs","description":"Searches a documentation set for specific content. Use this to find pages containing particular keywords, concepts, or topics. Returns matching pages ranked by relevance with their paths and descriptions. 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This integration supports both Atlassian Cloud and Jira Server\/Data Center deployments.","category":"mcp","publisher":"docker","icon":"","icon_small":"","icon_url":"\/icon\/mcp-atlassian?v=92d0c9df1356.a3e33d89","readme":true,"page_url":"https:\/\/store.selfmade.work\/app\/mcp-atlassian","first_party":false,"publisher_verified":true,"updated_at":1791851248,"image":{"state":"built","ref":"mcp\/atlassian@sha256:ecec36c622798897c4ede7a43b15069dac048d5be13af07aa3320450fe65f953","digest":"sha256:ecec36c622798897c4ede7a43b15069dac048d5be13af07aa3320450fe65f953"},"version":"92d0c9df13563c34d073e6b095f3f772586001de","state":"listed","versions":[],"repo_url":"https:\/\/github.com\/sooperset\/mcp-atlassian\/tree\/35b1da00c920810e7d4119cdd9fcc5b46eec5b0e","requires":{"render":false,"driver":"sysbox","min_plan":null},"categories":["project-management","mcp-servers"],"categories_source":"derived","kind":"mcp","installs":0,"pull_count":164877,"tools_count":80,"known_publisher":false,"remote":false,"config_kind":"secrets","created_at":1746475715,"mcp":{"key":"atlassian","type":"server","transport":"stdio","image":"mcp\/atlassian","digest":"sha256:ecec36c622798897c4ede7a43b15069dac048d5be13af07aa3320450fe65f953","remote_url":"","tools":[{"name":"confluence_add_comment","description":"Add a comment to a Confluence page."},{"name":"confluence_add_inline_comment","description":"Add an inline comment anchored to a text selection on a page."},{"name":"confluence_add_label","description":"Add label to Confluence content (pages, blog posts, or attachments).\n\nUseful for:\n- Categorizing attachments (e.g., 'screenshot', 'diagram', 'legal-doc')\n- Tracking status (e.g., 'approved', 'needs-review', 'archived')\n- Filtering content by topic or version"},{"name":"confluence_create_page","description":"Create a new Confluence page."},{"name":"confluence_delete_attachment","description":"Permanently delete an attachment from Confluence.\n\n**Warning**: This action cannot be undone! The attachment and ALL its versions will be\npermanently deleted.\n\nUse this tool to:\n- Remove outdated or incorrect attachments\n- Clean up duplicate files\n- Delete sensitive information that was accidentally uploaded\n\nBest practices:\n- Verify the attachment ID before deletion using get_attachments\n- Consider downloading the attachment first as a backup\n- Check with content owners before deleting shared attachments"},{"name":"confluence_delete_page","description":"Delete an existing Confluence page."},{"name":"confluence_download_attachment","description":"Download an attachment from Confluence as an embedded resource.\n\nReturns the attachment content as a base64-encoded embedded resource so\nthat it is available over the MCP protocol without requiring filesystem\naccess on the server. Files larger than 50 MB are not downloaded inline;\na descriptive error message is returned instead."},{"name":"confluence_download_content_attachments","description":"Download all attachments for a Confluence content item as embedded resources.\n\nReturns attachment contents as base64-encoded embedded resources so that\nthey are available over the MCP protocol without requiring filesystem\naccess on the server. Files larger than 50 MB are skipped with an error\nentry in the summary."},{"name":"confluence_get_attachments","description":"List all attachments for a Confluence content item (page or blog post).\n\nReturns metadata about attachments including:\n- Attachment ID, title, and file type\n- File size and download URL\n- Creation\/modification dates\n- Version information\n\n**Important**: Confluence API returns 'application\/octet-stream' as the media type\nfor most binary files (PNG, JPG, PDF) instead of specific types like 'image\/png'.\nFor filtering by file type, using the 'filename' parameter is more reliable\n(e.g., filename='*.png' pattern matching if supported, or exact filename).\n\nUseful for:\n- Discovering what files are attached to a page\n- Getting attachment IDs for download operations\n- Checking if a specific file exists\n- Listing images\/documents for processing"},{"name":"confluence_get_comments","description":"Get comments for a specific Confluence page."},{"name":"confluence_get_inline_comments","description":"Get all inline comments for a Confluence page."},{"name":"confluence_get_labels","description":"Get labels for Confluence content (pages, blog posts, or attachments)."},{"name":"confluence_get_page","description":"Get content of a specific Confluence page by its ID, or by its title and space key."},{"name":"confluence_get_page_children","description":"Get child pages and folders of a specific Confluence page."},{"name":"confluence_get_page_diff","description":"Get a unified diff between two versions of a Confluence page."},{"name":"confluence_get_page_history","description":"Get a historical version of a specific Confluence page."},{"name":"confluence_get_page_images","description":"Get all images attached to a Confluence page as inline image content.\n\nFilters attachments to images only (PNG, JPEG, GIF, WebP, SVG, BMP)\nand returns them as base64-encoded ImageContent that clients can\nrender directly. Non-image attachments are excluded.\n\nFiles with ambiguous MIME types (application\/octet-stream) are\ndetected by filename extension as a fallback. Images larger than\n50 MB are skipped with an error entry in the summary."},{"name":"confluence_get_page_views","description":"Get view statistics for a Confluence page.\n\nNote: This tool is only available for Confluence Cloud. Server\/Data Center\ninstances do not support the Analytics API."},{"name":"confluence_get_space_page_tree","description":"Get page hierarchy for a Confluence space as a flat list.\n\nReturns pages with parent_id and depth attributes for token-efficient\nprocessing. Filter by depth to focus on relevant sections, or find\npages by title. Much more efficient than rendering full ASCII trees.\n\nUse this to understand space organization before creating\/moving pages."},{"name":"confluence_move_page","description":"Move a Confluence page to a new parent or space."},{"name":"confluence_reply_to_comment","description":"Reply to an existing comment thread on a Confluence page."},{"name":"confluence_search","description":"Search Confluence content using simple terms or CQL."},{"name":"confluence_search_user","description":"Search Confluence users using CQL (Cloud) or group member API (Server\/DC)."},{"name":"confluence_update_page","description":"Update an existing Confluence page."},{"name":"confluence_update_page_section","description":"Update a single section of a Confluence page without affecting the rest.\n\nReplaces only the content beneath a named heading, leaving all other\nsections, macros, layouts, and Confluence-specific elements completely\nintact. This avoids the data loss that occurs when a full page is\ndownloaded as Markdown, edited, and re-uploaded."},{"name":"confluence_upload_attachment","description":"Upload an attachment to Confluence content (page or blog post).\n\nIf the attachment already exists (same filename), a new version is created.\nThis is useful for:\n- Attaching documents, images, or files to a page\n- Updating existing attachments with new versions\n- Adding supporting materials to documentation"},{"name":"confluence_upload_attachments","description":"Upload multiple attachments to Confluence content in a single operation.\n\nMore efficient than calling upload_attachment multiple times. If files with the\nsame names exist, new versions are created automatically.\n\nUseful for:\n- Bulk uploading documentation assets (diagrams, screenshots, etc.)\n- Adding multiple related files to a page at once\n- Batch updating existing attachments with new versions"},{"name":"jira_add_comment","description":"Add a comment to a Jira issue."},{"name":"jira_add_issues_to_sprint","description":"Add issues to a Jira sprint."},{"name":"jira_add_watcher","description":"Add a user as a watcher to a Jira issue."},{"name":"jira_add_worklog","description":"Add a worklog entry to a Jira issue."},{"name":"jira_assign_issue","description":"Assign a Jira issue to a user using the dedicated assignment endpoint.\n\nThis is more reliable than setting assignee via update_issue, which is\nsilently ignored by some Jira configurations. Uses PUT \/issue\/{key}\/assignee."},{"name":"jira_batch_create_issues","description":"Create multiple Jira issues in a batch."},{"name":"jira_batch_create_versions","description":"Batch create multiple versions in a Jira project."},{"name":"jira_batch_get_changelogs","description":"Get changelogs for multiple Jira issues (Cloud only)."},{"name":"jira_create_issue","description":"Create a new Jira issue with optional Epic link or parent for subtasks."},{"name":"jira_create_issue_link","description":"Create a link between two Jira issues."},{"name":"jira_create_remote_issue_link","description":"Create a remote issue link (web link or Confluence link) for a Jira issue.\n\nThis tool allows you to add web links and Confluence links to Jira issues.\nThe links will appear in the issue's \"Links\" section and can be clicked to navigate to external resources."},{"name":"jira_create_sprint","description":"Create Jira sprint for a board."},{"name":"jira_create_version","description":"Create a new fix version in a Jira project."},{"name":"jira_delete_issue","description":"Delete an existing Jira issue."},{"name":"jira_download_attachments","description":"Download attachments from a Jira issue.\n\nReturns attachment contents as base64-encoded embedded resources so that\nthey are available over the MCP protocol without requiring filesystem\naccess on the server."},{"name":"jira_edit_comment","description":"Edit an existing comment on a Jira issue."},{"name":"jira_get_agile_boards","description":"Get jira agile boards by name, project key, or type."},{"name":"jira_get_all_projects","description":"Get all Jira projects accessible to the current user."},{"name":"jira_get_board_issues","description":"Get all issues linked to a specific board filtered by JQL."},{"name":"jira_get_field_options","description":"Get allowed option values for a custom field.\n\nReturns the list of valid options for select, multi-select, radio,\ncheckbox, and cascading select custom fields.\n\nCloud: Uses the Field Context Option API. If context_id is not provided,\nautomatically resolves to the global context.\n\nServer\/DC: Uses createmeta to get allowedValues. Requires project_key\nand issue_type parameters."},{"name":"jira_get_issue","description":"Get details of a specific Jira issue.\n\nIncludes Epic links and relationship information. Use the\n``include`` parameter to inline enrichments (remote_links,\ntransitions, watchers, changelog, comments, worklogs) so that\nseparate tool calls are not needed."},{"name":"jira_get_issue_dates","description":"Get date information and status transition history for a Jira issue.\n\nReturns dates (created, updated, due date, resolution date) and optionally\nstatus change history with time tracking for workflow analysis."},{"name":"jira_get_issue_development_info","description":"Get development information (PRs, commits, branches) linked to a Jira issue.\n\nThis retrieves the development panel information that shows linked\npull requests, branches, and commits from connected source control systems\nlike Bitbucket, GitHub, or GitLab."},{"name":"jira_get_issue_images","description":"Get all images attached to a Jira issue as inline image content.\n\nFilters attachments to images only (PNG, JPEG, GIF, WebP, SVG, BMP)\nand returns them as base64-encoded ImageContent that clients can\nrender directly. Non-image attachments are excluded.\n\nFiles with ambiguous MIME types (application\/octet-stream) are\ndetected by filename extension as a fallback. Images larger than\n50 MB are skipped with an error entry in the summary."},{"name":"jira_get_issue_proforma_forms","description":"Get all ProForma forms associated with a Jira issue.\n\nUses the new Jira Forms REST API. Form IDs are returned as UUIDs."},{"name":"jira_get_issue_sla","description":"Calculate SLA metrics for a Jira issue.\n\nComputes various time-based metrics including cycle time, lead time,\ntime spent in each status, due date compliance, and more.\n\nWorking hours can be configured via environment variables:\n- JIRA_SLA_WORKING_HOURS_ONLY: Enable working hours filtering (true\/false)\n- JIRA_SLA_WORKING_HOURS_START: Start time (e.g., \"09:00\")\n- JIRA_SLA_WORKING_HOURS_END: End time (e.g., \"17:00\")\n- JIRA_SLA_WORKING_DAYS: Working days (e.g., \"1,2,3,4,5\" for Mon-Fri)\n- JIRA_SLA_TIMEZONE: Timezone for calculations (e.g., \"America\/New_York\")"},{"name":"jira_get_issue_watchers","description":"Get the list of watchers for a Jira issue."},{"name":"jira_get_issues_development_info","description":"Get development information for multiple Jira issues.\n\nBatch retrieves development panel information (PRs, commits, branches)\nfor multiple issues at once."},{"name":"jira_get_link_types","description":"Get all available issue link types."},{"name":"jira_get_proforma_form_details","description":"Get detailed information about a specific ProForma form.\n\nUses the new Jira Forms REST API. Returns form details including ADF design structure."},{"name":"jira_get_project_components","description":"Get all components for a specific Jira project."},{"name":"jira_get_project_fields","description":"Get the fields available on issues of a project (the create schema),\ndeduplicated across the project's issue types \u2014 i.e. which fields tickets in\nthis project have, regardless of whether they are filled."},{"name":"jira_get_project_issues","description":"Get all issues for a specific Jira project."},{"name":"jira_get_project_versions","description":"Get all fix versions for a specific Jira project."},{"name":"jira_get_queue_issues","description":"Get issues from a Jira Service Desk queue.\n\nServer\/Data Center only. Not available on Jira Cloud."},{"name":"jira_get_service_desk_for_project","description":"Get the Jira Service Desk associated with a project key.\n\nServer\/Data Center only. Not available on Jira Cloud."},{"name":"jira_get_service_desk_queues","description":"Get queues for a Jira Service Desk.\n\nServer\/Data Center only. Not available on Jira Cloud."},{"name":"jira_get_sprint_issues","description":"Get jira issues from sprint."},{"name":"jira_get_sprints_from_board","description":"Get jira sprints from board by state."},{"name":"jira_get_transitions","description":"Get available status transitions for a Jira issue."},{"name":"jira_get_user_profile","description":"Retrieve profile information for a specific Jira user."},{"name":"jira_get_worklog","description":"Get worklog entries for a Jira issue."},{"name":"jira_link_to_epic","description":"Link an existing issue to an epic."},{"name":"jira_remove_issue_link","description":"Remove a link between two Jira issues."},{"name":"jira_remove_watcher","description":"Remove a user from watching a Jira issue."},{"name":"jira_search","description":"Search Jira issues using JQL (Jira Query Language)."},{"name":"jira_search_assignable_users","description":"Search Jira users assignable in a given project or issue.\n\nUse this when you have a display name \/ partial name \/ email fragment\nand need a concrete identifier (``name`` \/ ``key`` for Server\/DC,\n``accountId`` for Cloud) to feed into assignee, reporter, watcher, etc.\n\nReturns the full result set so the caller can disambiguate when several\nusers match \u2014 ``get_user_profile`` only resolves one identifier and is\nnot designed for human-name search.\n\nExactly one of ``project_key`` or ``issue_key`` must be provided \u2014 the\nunderlying API (``\/user\/assignable\/search``) requires a project or issue\ncontext and works without the global \"Browse Users\" permission that bot\naccounts in locked-down DC instances often lack."},{"name":"jira_search_fields","description":"Search Jira fields by keyword with fuzzy match."},{"name":"jira_transition_issue","description":"Transition a Jira issue to a new status."},{"name":"jira_update_issue","description":"Update an existing Jira issue including changing status, adding Epic links, updating fields, etc."},{"name":"jira_update_proforma_form_answers","description":"Update form field answers using the Jira Forms REST API.\n\nThis is the primary method for updating form data. Each answer object\nmust specify the question ID, answer type, and value.\n\n**\u26a0\ufe0f KNOWN LIMITATION - DATETIME fields:**\nThe Jira Forms API does NOT properly preserve time components in DATETIME fields.\nOnly the date portion is stored; times are reset to midnight (00:00:00).\n\n**Workaround for DATETIME fields:**\nUse jira_update_issue to directly update the underlying custom fields instead:\n1. Get the custom field ID from the form details (question's \"jiraField\" property)\n2. Use jira_update_issue with fields like: {\"customfield_XXXXX\": \"2026-01-09T11:50:00-08:00\"}\n\nExample:\n```python\n# Instead of updating via form (loses time):\n# jira_update_proforma_form_answers(issue_key, form_id, [{\"questionId\": \"91\", \"type\": \"DATETIME\", \"value\": \"...\"}])\n\n# Use direct field update (preserves time):\njira_update_issue(issue_key, {\"customfield_10542\": \"2026-01-09T11:50:00-08:00\"})\n```\n\n**Automatic Da"},{"name":"jira_update_sprint","description":"Update jira sprint."},{"name":"jira_update_version","description":"Update an existing fix version in a Jira project.\n\nOnly fields explicitly provided are modified; other attributes of the\nversion are left untouched. Useful for archiving\/unarchiving versions,\nrenaming, or shifting release dates without recreating them."}],"tools_count":80,"secrets":[{"name":"atlassian.confluence.api_token","env":"CONFLUENCE_API_TOKEN","description":"","example":"your_api_token"},{"name":"atlassian.confluence.personal_token","env":"CONFLUENCE_PERSONAL_TOKEN","description":"","example":"your_api_token"},{"name":"atlassian.jira.api_token","env":"JIRA_API_TOKEN","description":"","example":"your_api_token"},{"name":"atlassian.jira.personal_token","env":"JIRA_PERSONAL_TOKEN","description":"","example":"your_api_token"}],"env":[{"name":"CONFLUENCE_URL","value":"{{atlassian.confluence.url}}"},{"name":"CONFLUENCE_USERNAME","value":"{{atlassian.confluence.username}}"},{"name":"JIRA_URL","value":"{{atlassian.jira.url}}"},{"name":"JIRA_USERNAME","value":"{{atlassian.jira.username}}"}],"config_schema":[{"name":"atlassian","description":"The MCP server is allowed to access these paths","type":"object","properties":{"confluence":{"type":"object","properties":{"url":{"type":"string"},"username":{"type":"string"}},"required":["url"]},"jira":{"type":"object","properties":{"url":{"type":"string"},"username":{"type":"string"}},"required":["url"]}},"anyOf":[{"required":["confluence"]},{"required":["jira"]}]}],"oauth":[],"zero_config":false,"needs_setup":true,"tools_after_setup":false,"network":true,"network_source":"catalog","installable":true,"install_reason":"","server_name":"atlassian","server_entry":{"command":"docker","args":["run","-i","--rm","--init","--security-opt","no-new-privileges","-e","CONFLUENCE_API_TOKEN","-e","CONFLUENCE_PERSONAL_TOKEN","-e","CONFLUENCE_URL","-e","CONFLUENCE_USERNAME","-e","JIRA_API_TOKEN","-e","JIRA_PERSONAL_TOKEN","-e","JIRA_URL","-e","JIRA_USERNAME","mcp\/atlassian@sha256:ecec36c622798897c4ede7a43b15069dac048d5be13af07aa3320450fe65f953"],"env":{"CONFLUENCE_API_TOKEN":"{secret:atlassian.confluence.api_token}","CONFLUENCE_PERSONAL_TOKEN":"{secret:atlassian.confluence.personal_token}","CONFLUENCE_URL":"{secret:atlassian.confluence.url}","CONFLUENCE_USERNAME":"{secret:atlassian.confluence.username}","JIRA_API_TOKEN":"{secret:atlassian.jira.api_token}","JIRA_PERSONAL_TOKEN":"{secret:atlassian.jira.personal_token}","JIRA_URL":"{secret:atlassian.jira.url}","JIRA_USERNAME":"{secret:atlassian.jira.username}"},"x-labs":{"title":"Atlassian","description":"Tools for Atlassian products (Confluence and Jira). This integration supports both Atlassian Cloud and Jira Server\/Data Center deployments.","icon":"https:\/\/avatars.githubusercontent.com\/u\/43281909?s=200&v=4","timeout":30,"tools":[{"name":"confluence_add_comment","description":"Add a comment to a Confluence page."},{"name":"confluence_add_inline_comment","description":"Add an inline comment anchored to a text selection on a page."},{"name":"confluence_add_label","description":"Add label to Confluence content (pages, blog posts, or attachments).\n\nUseful for:\n- Categorizing attachments (e.g., 'screenshot', 'diagram', 'legal-doc')\n- Tracking status (e.g., 'approved', 'needs-review', 'archived')\n- Filtering content by topic or version"},{"name":"confluence_create_page","description":"Create a new Confluence page."},{"name":"confluence_delete_attachment","description":"Permanently delete an attachment from Confluence.\n\n**Warning**: This action cannot be undone! The attachment and ALL its versions will be\npermanently deleted.\n\nUse this tool to:\n- Remove outdated or incorrect attachments\n- Clean up duplicate files\n- Delete sensitive information that was accidentally uploaded\n\nBest practices:\n- Verify the attachment ID before deletion using get_attachments\n- Consider downloading the attachment first as a backup\n- Check with content owners before deleting shared a"},{"name":"confluence_delete_page","description":"Delete an existing Confluence page."},{"name":"confluence_download_attachment","description":"Download an attachment from Confluence as an embedded resource.\n\nReturns the attachment content as a base64-encoded embedded resource so\nthat it is available over the MCP protocol without requiring filesystem\naccess on the server. Files larger than 50 MB are not downloaded inline;\na descriptive error message is returned instead."},{"name":"confluence_download_content_attachments","description":"Download all attachments for a Confluence content item as embedded resources.\n\nReturns attachment contents as base64-encoded embedded resources so that\nthey are available over the MCP protocol without requiring filesystem\naccess on the server. Files larger than 50 MB are skipped with an error\nentry in the summary."},{"name":"confluence_get_attachments","description":"List all attachments for a Confluence content item (page or blog post).\n\nReturns metadata about attachments including:\n- Attachment ID, title, and file type\n- File size and download URL\n- Creation\/modification dates\n- Version information\n\n**Important**: Confluence API returns 'application\/octet-stream' as the media type\nfor most binary files (PNG, JPG, PDF) instead of specific types like 'image\/png'.\nFor filtering by file type, using the 'filename' parameter is more reliable\n(e.g., filename='*.p"},{"name":"confluence_get_comments","description":"Get comments for a specific Confluence page."},{"name":"confluence_get_inline_comments","description":"Get all inline comments for a Confluence page."},{"name":"confluence_get_labels","description":"Get labels for Confluence content (pages, blog posts, or attachments)."},{"name":"confluence_get_page","description":"Get content of a specific Confluence page by its ID, or by its title and space key."},{"name":"confluence_get_page_children","description":"Get child pages and folders of a specific Confluence page."},{"name":"confluence_get_page_diff","description":"Get a unified diff between two versions of a Confluence page."},{"name":"confluence_get_page_history","description":"Get a historical version of a specific Confluence page."},{"name":"confluence_get_page_images","description":"Get all images attached to a Confluence page as inline image content.\n\nFilters attachments to images only (PNG, JPEG, GIF, WebP, SVG, BMP)\nand returns them as base64-encoded ImageContent that clients can\nrender directly. Non-image attachments are excluded.\n\nFiles with ambiguous MIME types (application\/octet-stream) are\ndetected by filename extension as a fallback. Images larger than\n50 MB are skipped with an error entry in the summary."},{"name":"confluence_get_page_views","description":"Get view statistics for a Confluence page.\n\nNote: This tool is only available for Confluence Cloud. Server\/Data Center\ninstances do not support the Analytics API."},{"name":"confluence_get_space_page_tree","description":"Get page hierarchy for a Confluence space as a flat list.\n\nReturns pages with parent_id and depth attributes for token-efficient\nprocessing. Filter by depth to focus on relevant sections, or find\npages by title. Much more efficient than rendering full ASCII trees.\n\nUse this to understand space organization before creating\/moving pages."},{"name":"confluence_move_page","description":"Move a Confluence page to a new parent or space."},{"name":"confluence_reply_to_comment","description":"Reply to an existing comment thread on a Confluence page."},{"name":"confluence_search","description":"Search Confluence content using simple terms or CQL."},{"name":"confluence_search_user","description":"Search Confluence users using CQL (Cloud) or group member API (Server\/DC)."},{"name":"confluence_update_page","description":"Update an existing Confluence page."},{"name":"confluence_update_page_section","description":"Update a single section of a Confluence page without affecting the rest.\n\nReplaces only the content beneath a named heading, leaving all other\nsections, macros, layouts, and Confluence-specific elements completely\nintact. This avoids the data loss that occurs when a full page is\ndownloaded as Markdown, edited, and re-uploaded."},{"name":"confluence_upload_attachment","description":"Upload an attachment to Confluence content (page or blog post).\n\nIf the attachment already exists (same filename), a new version is created.\nThis is useful for:\n- Attaching documents, images, or files to a page\n- Updating existing attachments with new versions\n- Adding supporting materials to documentation"},{"name":"confluence_upload_attachments","description":"Upload multiple attachments to Confluence content in a single operation.\n\nMore efficient than calling upload_attachment multiple times. If files with the\nsame names exist, new versions are created automatically.\n\nUseful for:\n- Bulk uploading documentation assets (diagrams, screenshots, etc.)\n- Adding multiple related files to a page at once\n- Batch updating existing attachments with new versions"},{"name":"jira_add_comment","description":"Add a comment to a Jira issue."},{"name":"jira_add_issues_to_sprint","description":"Add issues to a Jira sprint."},{"name":"jira_add_watcher","description":"Add a user as a watcher to a Jira issue."},{"name":"jira_add_worklog","description":"Add a worklog entry to a Jira issue."},{"name":"jira_assign_issue","description":"Assign a Jira issue to a user using the dedicated assignment endpoint.\n\nThis is more reliable than setting assignee via update_issue, which is\nsilently ignored by some Jira configurations. Uses PUT \/issue\/{key}\/assignee."},{"name":"jira_batch_create_issues","description":"Create multiple Jira issues in a batch."},{"name":"jira_batch_create_versions","description":"Batch create multiple versions in a Jira project."},{"name":"jira_batch_get_changelogs","description":"Get changelogs for multiple Jira issues (Cloud only)."},{"name":"jira_create_issue","description":"Create a new Jira issue with optional Epic link or parent for subtasks."},{"name":"jira_create_issue_link","description":"Create a link between two Jira issues."},{"name":"jira_create_remote_issue_link","description":"Create a remote issue link (web link or Confluence link) for a Jira issue.\n\nThis tool allows you to add web links and Confluence links to Jira issues.\nThe links will appear in the issue's \"Links\" section and can be clicked to navigate to external resources."},{"name":"jira_create_sprint","description":"Create Jira sprint for a board."},{"name":"jira_create_version","description":"Create a new fix version in a Jira project."},{"name":"jira_delete_issue","description":"Delete an existing Jira issue."},{"name":"jira_download_attachments","description":"Download attachments from a Jira issue.\n\nReturns attachment contents as base64-encoded embedded resources so that\nthey are available over the MCP protocol without requiring filesystem\naccess on the server."},{"name":"jira_edit_comment","description":"Edit an existing comment on a Jira issue."},{"name":"jira_get_agile_boards","description":"Get jira agile boards by name, project key, or type."},{"name":"jira_get_all_projects","description":"Get all Jira projects accessible to the current user."},{"name":"jira_get_board_issues","description":"Get all issues linked to a specific board filtered by JQL."},{"name":"jira_get_field_options","description":"Get allowed option values for a custom field.\n\nReturns the list of valid options for select, multi-select, radio,\ncheckbox, and cascading select custom fields.\n\nCloud: Uses the Field Context Option API. If context_id is not provided,\nautomatically resolves to the global context.\n\nServer\/DC: Uses createmeta to get allowedValues. Requires project_key\nand issue_type parameters."},{"name":"jira_get_issue","description":"Get details of a specific Jira issue.\n\nIncludes Epic links and relationship information. Use the\n``include`` parameter to inline enrichments (remote_links,\ntransitions, watchers, changelog, comments, worklogs) so that\nseparate tool calls are not needed."},{"name":"jira_get_issue_dates","description":"Get date information and status transition history for a Jira issue.\n\nReturns dates (created, updated, due date, resolution date) and optionally\nstatus change history with time tracking for workflow analysis."},{"name":"jira_get_issue_development_info","description":"Get development information (PRs, commits, branches) linked to a Jira issue.\n\nThis retrieves the development panel information that shows linked\npull requests, branches, and commits from connected source control systems\nlike Bitbucket, GitHub, or GitLab."},{"name":"jira_get_issue_images","description":"Get all images attached to a Jira issue as inline image content.\n\nFilters attachments to images only (PNG, JPEG, GIF, WebP, SVG, BMP)\nand returns them as base64-encoded ImageContent that clients can\nrender directly. Non-image attachments are excluded.\n\nFiles with ambiguous MIME types (application\/octet-stream) are\ndetected by filename extension as a fallback. Images larger than\n50 MB are skipped with an error entry in the summary."},{"name":"jira_get_issue_proforma_forms","description":"Get all ProForma forms associated with a Jira issue.\n\nUses the new Jira Forms REST API. Form IDs are returned as UUIDs."},{"name":"jira_get_issue_sla","description":"Calculate SLA metrics for a Jira issue.\n\nComputes various time-based metrics including cycle time, lead time,\ntime spent in each status, due date compliance, and more.\n\nWorking hours can be configured via environment variables:\n- JIRA_SLA_WORKING_HOURS_ONLY: Enable working hours filtering (true\/false)\n- JIRA_SLA_WORKING_HOURS_START: Start time (e.g., \"09:00\")\n- JIRA_SLA_WORKING_HOURS_END: End time (e.g., \"17:00\")\n- JIRA_SLA_WORKING_DAYS: Working days (e.g., \"1,2,3,4,5\" for Mon-Fri)\n- JIRA_SLA_TI"},{"name":"jira_get_issue_watchers","description":"Get the list of watchers for a Jira issue."},{"name":"jira_get_issues_development_info","description":"Get development information for multiple Jira issues.\n\nBatch retrieves development panel information (PRs, commits, branches)\nfor multiple issues at once."},{"name":"jira_get_link_types","description":"Get all available issue link types."},{"name":"jira_get_proforma_form_details","description":"Get detailed information about a specific ProForma form.\n\nUses the new Jira Forms REST API. Returns form details including ADF design structure."},{"name":"jira_get_project_components","description":"Get all components for a specific Jira project."},{"name":"jira_get_project_fields","description":"Get the fields available on issues of a project (the create schema),\ndeduplicated across the project's issue types \u2014 i.e. which fields tickets in\nthis project have, regardless of whether they are filled."},{"name":"jira_get_project_issues","description":"Get all issues for a specific Jira project."},{"name":"jira_get_project_versions","description":"Get all fix versions for a specific Jira project."},{"name":"jira_get_queue_issues","description":"Get issues from a Jira Service Desk queue.\n\nServer\/Data Center only. Not available on Jira Cloud."},{"name":"jira_get_service_desk_for_project","description":"Get the Jira Service Desk associated with a project key.\n\nServer\/Data Center only. Not available on Jira Cloud."},{"name":"jira_get_service_desk_queues","description":"Get queues for a Jira Service Desk.\n\nServer\/Data Center only. Not available on Jira Cloud."},{"name":"jira_get_sprint_issues","description":"Get jira issues from sprint."},{"name":"jira_get_sprints_from_board","description":"Get jira sprints from board by state."},{"name":"jira_get_transitions","description":"Get available status transitions for a Jira issue."},{"name":"jira_get_user_profile","description":"Retrieve profile information for a specific Jira user."},{"name":"jira_get_worklog","description":"Get worklog entries for a Jira issue."},{"name":"jira_link_to_epic","description":"Link an existing issue to an epic."},{"name":"jira_remove_issue_link","description":"Remove a link between two Jira issues."},{"name":"jira_remove_watcher","description":"Remove a user from watching a Jira issue."},{"name":"jira_search","description":"Search Jira issues using JQL (Jira Query Language)."},{"name":"jira_search_assignable_users","description":"Search Jira users assignable in a given project or issue.\n\nUse this when you have a display name \/ partial name \/ email fragment\nand need a concrete identifier (``name`` \/ ``key`` for Server\/DC,\n``accountId`` for Cloud) to feed into assignee, reporter, watcher, etc.\n\nReturns the full result set so the caller can disambiguate when several\nusers match \u2014 ``get_user_profile`` only resolves one identifier and is\nnot designed for human-name search.\n\nExactly one of ``project_key`` or ``issue_key`` must"},{"name":"jira_search_fields","description":"Search Jira fields by keyword with fuzzy match."},{"name":"jira_transition_issue","description":"Transition a Jira issue to a new status."},{"name":"jira_update_issue","description":"Update an existing Jira issue including changing status, adding Epic links, updating fields, etc."},{"name":"jira_update_proforma_form_answers","description":"Update form field answers using the Jira Forms REST API.\n\nThis is the primary method for updating form data. Each answer object\nmust specify the question ID, answer type, and value.\n\n**\u26a0\ufe0f KNOWN LIMITATION - DATETIME fields:**\nThe Jira Forms API does NOT properly preserve time components in DATETIME fields.\nOnly the date portion is stored; times are reset to midnight (00:00:00).\n\n**Workaround for DATETIME fields:**\nUse jira_update_issue to directly update the underlying custom fields instead:\n1. "},{"name":"jira_update_sprint","description":"Update jira sprint."},{"name":"jira_update_version","description":"Update an existing fix version in a Jira project.\n\nOnly fields explicitly provided are modified; other attributes of the\nversion are left untouched. Useful for archiving\/unarchiving versions,\nrenaming, or shifting release dates without recreating them."}],"config":[{"name":"atlassian.confluence.api_token","description":"","type":"string","secret":true,"required":true},{"name":"atlassian.confluence.personal_token","description":"","type":"string","secret":true,"required":true},{"name":"atlassian.jira.api_token","description":"","type":"string","secret":true,"required":true},{"name":"atlassian.jira.personal_token","description":"","type":"string","secret":true,"required":true},{"name":"atlassian.confluence.url","description":"","type":"string","secret":false,"required":true},{"name":"atlassian.confluence.username","description":"","type":"string","secret":false,"required":true},{"name":"atlassian.jira.url","description":"","type":"string","secret":false,"required":true},{"name":"atlassian.jira.username","description":"","type":"string","secret":false,"required":true}],"needs_setup":true,"network":true,"prepull":["mcp\/atlassian@sha256:ecec36c622798897c4ede7a43b15069dac048d5be13af07aa3320450fe65f953"]}},"settings":[{"name":"atlassian.confluence.url","description":"","type":"string","required":true,"example":"","default":""},{"name":"atlassian.confluence.username","description":"","type":"string","required":true,"example":"","default":""},{"name":"atlassian.jira.url","description":"","type":"string","required":true,"example":"","default":""},{"name":"atlassian.jira.username","description":"","type":"string","required":true,"example":"","default":""}],"docs_url":"https:\/\/desktop.docker.com\/mcp\/catalog\/v3\/readme\/atlassian.md"},"source_kind":"docker-mcp-catalog","license":"MIT License","upstream":"https:\/\/github.com\/sooperset\/mcp-atlassian","owner":"sooperset","tags":["atlassian","confluence","jira"],"popularity":{"pulls":164877,"stars":22,"github_stars":5985},"readme_url":"https:\/\/desktop.docker.com\/mcp\/catalog\/v3\/readme\/atlassian.md","date_added":"2025-05-05T20:08:35Z","packaged_by":"Docker"},{"slug":"mcp-audiense-insights","name":"Audiense Insights","description":"Audiense Insights MCP Server is a server based on the Model Context Protocol (MCP) that allows Claude and other MCP-compatible clients to interact with your Audiense Insights account.","category":"mcp","publisher":"docker","icon":"","icon_small":"","icon_url":"\/icon\/mcp-audiense-insights?v=96e0acd8e23c.d61ea373","readme":true,"page_url":"https:\/\/store.selfmade.work\/app\/mcp-audiense-insights","first_party":false,"publisher_verified":true,"updated_at":1791851250,"image":{"state":"built","ref":"mcp\/audiense-insights@sha256:064623a07a6b1d4282a94cb338ca5872db1326dd09591f8f6b708d15326bf962","digest":"sha256:064623a07a6b1d4282a94cb338ca5872db1326dd09591f8f6b708d15326bf962"},"version":"96e0acd8e23ccd613fe86463267024a55449fe51","state":"listed","versions":[],"repo_url":"https:\/\/github.com\/AudienseCo\/mcp-audiense-insights\/tree\/f18ffa6ddf944769f3c95944281f752bf6369fa5","requires":{"render":false,"driver":"sysbox","min_plan":null},"categories":["devops","mcp-servers"],"categories_source":"derived","kind":"mcp","installs":0,"pull_count":41171,"tools_count":8,"known_publisher":false,"remote":false,"config_kind":"secrets","created_at":1746475715,"mcp":{"key":"audiense-insights","type":"server","transport":"stdio","image":"mcp\/audiense-insights","digest":"sha256:064623a07a6b1d4282a94cb338ca5872db1326dd09591f8f6b708d15326bf962","remote_url":"","tools":[{"name":"compare-audience-influencers","description":"Compares the influencers of an audience with a baseline audience. The baseline is determined as follows: \n If the selection was the full audience and a single country represents more than 50% of the audience, that country is used as the baseline.\n Otherwise, the Global baseline is applied. If the selection was a specific segment, the full audience is used as the baseline.\n Each influencer comparison includes: \n - Affinity (%) - The level of alignment between the influencer and the audience. Baseline Affinity (%)\n - The influencer\u2019s affinity within the baseline audience. Uniqueness Score\n - A measure of how distinct the influencer is within the selected audience compared to the baseline."},{"name":"get-audience-content","description":"Retrieves audience content engagement details for a given audience.\n\nThis tool provides a detailed breakdown of the content an audience interacts with, including:\n- **Liked Content**: Popular posts, top domains, top emojis, top hashtags, top links, top media, and a word cloud.\n- **Shared Content**: Content that the audience shares, categorized similarly to liked content.\n- **Influential Content**: Content from influential accounts that impact the audience, with similar categorization.\n\nEach category contains:\n- **popularPost**: List of the most engaged posts.\n- **topDomains**: Most mentioned domains.\n- **topEmojis**: Most used emojis.\n- **topHashtags**: Most used hashtags.\n- **topLinks**: Most shared links.\n- **topMedia**: Media types shared and samples.\n- **wordcloud**: Frequently used words."},{"name":"get-audience-insights","description":"Retrieves aggregated insights for a given audience ID, providing statistical distributions across various attributes.\n Available insights include demographics (e.g., gender, age, country), behavioral traits (e.g., active hours, platform usage), psychographics (e.g., personality traits, interests), and socioeconomic factors (e.g., income, education status)."},{"name":"get-baselines","description":"Retrieves available baselines, optionally filtered by country."},{"name":"get-categories","description":"Retrieves the list of available affinity categories that can be used as the categories parameter in the compare-audience-influencers tool."},{"name":"get-report-info","description":"Retrieves detailed information about a specific intelligence report, including its status, segmentation type, audience size, segments, and access links."},{"name":"get-reports","description":"Retrieves the list of Audiense insights reports owned by the authenticated user."},{"name":"report-summary","description":"Generates a comprehensive summary of an Audiense report, including segment details, top insights, and influencers."}],"tools_count":8,"secrets":[{"name":"audiense-insights.client_secret","env":"AUDIENSE_CLIENT_SECRET","description":"","example":"your_client_secret_here"},{"name":"audiense-insights.twitter_bearer_token","env":"TWITTER_BEARER_TOKEN","description":"","example":"your_token_here"}],"env":[{"name":"AUDIENSE_CLIENT_ID","value":"{{audiense-insights.client_id}}"}],"config_schema":[{"name":"audiense-insights","description":"Configure the connection to Audiense Insights","type":"object","properties":{"client_id":{"type":"string"}},"required":["client_id"]}],"oauth":[],"zero_config":false,"needs_setup":true,"tools_after_setup":false,"network":true,"network_source":"catalog","installable":true,"install_reason":"","server_name":"audiense-insights","server_entry":{"command":"docker","args":["run","-i","--rm","--init","--security-opt","no-new-privileges","-e","AUDIENSE_CLIENT_ID","-e","AUDIENSE_CLIENT_SECRET","-e","TWITTER_BEARER_TOKEN","mcp\/audiense-insights@sha256:064623a07a6b1d4282a94cb338ca5872db1326dd09591f8f6b708d15326bf962"],"env":{"AUDIENSE_CLIENT_ID":"{secret:audiense-insights.client_id}","AUDIENSE_CLIENT_SECRET":"{secret:audiense-insights.client_secret}","TWITTER_BEARER_TOKEN":"{secret:audiense-insights.twitter_bearer_token}"},"x-labs":{"title":"Audiense Insights","description":"Audiense Insights MCP Server is a server based on the Model Context Protocol (MCP) that allows Claude and other MCP-compatible clients to interact with your Audiense Insights account.","icon":"https:\/\/avatars.githubusercontent.com\/u\/2454008?s=200&v=4","timeout":30,"tools":[{"name":"compare-audience-influencers","description":"Compares the influencers of an audience with a baseline audience. The baseline is determined as follows: \n If the selection was the full audience and a single country represents more than 50% of the audience, that country is used as the baseline.\n Otherwise, the Global baseline is applied. If the selection was a specific segment, the full audience is used as the baseline.\n Each influencer comparison includes: \n - Affinity (%) - The level of alignment between the influencer and th"},{"name":"get-audience-content","description":"Retrieves audience content engagement details for a given audience.\n\nThis tool provides a detailed breakdown of the content an audience interacts with, including:\n- **Liked Content**: Popular posts, top domains, top emojis, top hashtags, top links, top media, and a word cloud.\n- **Shared Content**: Content that the audience shares, categorized similarly to liked content.\n- **Influential Content**: Content from influential accounts that impact the audience, with similar categorization.\n\nEach cate"},{"name":"get-audience-insights","description":"Retrieves aggregated insights for a given audience ID, providing statistical distributions across various attributes.\n Available insights include demographics (e.g., gender, age, country), behavioral traits (e.g., active hours, platform usage), psychographics (e.g., personality traits, interests), and socioeconomic factors (e.g., income, education status)."},{"name":"get-baselines","description":"Retrieves available baselines, optionally filtered by country."},{"name":"get-categories","description":"Retrieves the list of available affinity categories that can be used as the categories parameter in the compare-audience-influencers tool."},{"name":"get-report-info","description":"Retrieves detailed information about a specific intelligence report, including its status, segmentation type, audience size, segments, and access links."},{"name":"get-reports","description":"Retrieves the list of Audiense insights reports owned by the authenticated user."},{"name":"report-summary","description":"Generates a comprehensive summary of an Audiense report, including segment details, top insights, and influencers."}],"config":[{"name":"audiense-insights.client_secret","description":"","type":"string","secret":true,"required":true},{"name":"audiense-insights.twitter_bearer_token","description":"","type":"string","secret":true,"required":true},{"name":"audiense-insights.client_id","description":"","type":"string","secret":false,"required":true}],"needs_setup":true,"network":true,"prepull":["mcp\/audiense-insights@sha256:064623a07a6b1d4282a94cb338ca5872db1326dd09591f8f6b708d15326bf962"]}},"settings":[{"name":"audiense-insights.client_id","description":"","type":"string","required":true,"example":"","default":""}],"docs_url":"https:\/\/desktop.docker.com\/mcp\/catalog\/v3\/readme\/audiense-insights.md"},"source_kind":"docker-mcp-catalog","license":"Apache License 2.0","upstream":"https:\/\/github.com\/AudienseCo\/mcp-audiense-insights","owner":"AudienseCo","tags":["audiense-insights","devops"],"popularity":{"pulls":41171,"stars":0,"github_stars":19},"readme_url":"https:\/\/desktop.docker.com\/mcp\/catalog\/v3\/readme\/audiense-insights.md","date_added":"2025-05-05T20:08:35Z","packaged_by":"Docker"},{"slug":"mcp-azure","name":"Azure","description":"Catalog of official Microsoft MCP (Model Context Protocol) server implementations for AI-powered data access and tool integration.","category":"mcp","publisher":"docker","icon":"","icon_small":"","icon_url":"\/icon\/mcp-azure?v=d6bcc5139d09.8254bfba","readme":true,"page_url":"https:\/\/store.selfmade.work\/app\/mcp-azure","first_party":false,"publisher_verified":true,"updated_at":1791851304,"image":{"state":"built","ref":"mcr.microsoft.com\/azure-sdk\/azure-mcp@sha256:c16f5366371431e4a175364a4b10c1ebd897c6a7b36667ea05f26fa1a243555a","digest":"sha256:c16f5366371431e4a175364a4b10c1ebd897c6a7b36667ea05f26fa1a243555a"},"version":"d6bcc5139d09ac6f84d7fee069babce4130ed305","state":"listed","versions":[],"repo_url":"https:\/\/github.com\/microsoft\/mcp\/tree\/e27932b2b73b5dcf7b5611c0861666046c4b9675","requires":{"render":false,"driver":"sysbox","min_plan":null},"categories":["devops","mcp-servers"],"categories_source":"derived","kind":"mcp","installs":0,"pull_count":null,"tools_count":55,"known_publisher":false,"remote":false,"config_kind":"none","created_at":1746475715,"mcp":{"key":"azure","type":"server","transport":"stdio","image":"mcr.microsoft.com\/azure-sdk\/azure-mcp","digest":"sha256:c16f5366371431e4a175364a4b10c1ebd897c6a7b36667ea05f26fa1a243555a","remote_url":"","tools":[{"name":"acr","description":"Azure Container Registry operations - Commands for managing Azure Container Registry resources. Includes operations for listing container registries and managing registry configurations.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"advisor","description":"Azure Advisor operations - Manage and query Azure Advisor recommendations across subscriptions. Use when you need subscription-scoped visibility into Advisor recommendations. Requires Azure subscription context.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"aks","description":"Azure Kubernetes Service operations - Manage and query Azure Kubernetes Service (AKS) resources across subscriptions. Use when you need subscription-scoped visibility into AKS cluster and node pool metadata\u2014including Azure resource IDs, networking endpoints, identity configuration, and provisioning state\u2014for governance or automation. Requires Azure subscription context. Not for kubectl execution, pod lifecycle changes, or in-cluster application deployments\u2014use Kubernetes-native tooling for those tasks.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"appconfig","description":"App Configuration operations - Commands for managing Azure App Configuration stores and key-value settings. Includes operations for listing configuration stores, managing key-value pairs, setting labels, locking\/unlocking settings, and retrieving configuration data.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"applens","description":"AppLens diagnostic operations \u2013 Primary tool for diagnosing and troubleshooting Azure resource issues. Uses conversational AI-powered diagnostics to detect problems, identify root causes, and recommend remediation steps. This tool should be the first choice when users report errors, performance issues, availability problems, or unexpected Azure resource behavior.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"applicationinsights","description":"Application Insights operations - Commands for listing and managing Application Insights components. \nThese commands do not support querying metrics or logs. Use Azure Monitor querying tools for that purpose.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"appservice","description":"App Service operations - Commands for managing Azure App Service resources including web apps, databases, and configurations.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"azd","description":"Azure Developer CLI (azd) includes a suite of tools to help build, modernize, and manage applications on Azure. It simplifies the process of developing cloud applications by providing commands for project initialization, resource provisioning, deployment, and monitoring. Use this tool to streamline your Azure development workflow and manage your cloud resources efficiently.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"azuremigrate","description":"Azure Landing Zone operations - Provides best-practice guidance and Terraform-ready generation for Azure Platform Landing Zones. Supports policy and governance changes, naming standards, network topology (hub\/spoke\/vWAN), identity and subscription design, firewall patterns, and starter module customization\u2014aligned to Microsoft's Cloud Adoption Framework. Can generate a complete platform landing zone with configurable parameters (regions, connectivity, security, subscriptions).This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"azureterraformbestpractices","description":"Returns Terraform best practices for Azure. Call this before generating Terraform code for Azure Providers. \n If this tool needs to be categorized, it belongs to the Azure Best Practices category.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"bicepschema","description":"Bicep schema operations - Commands for working with Azure Bicep Infrastructure as Code (IaC) generation and schema management. Includes operations for retrieving Bicep schemas, templates, and resource definitions to support infrastructure deployment automation.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"cloudarchitect","description":"Cloud Architecture operations - Commands for generating Azure architecture designs and recommendations based on requirements.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"communication","description":"Communication services operations - Commands for managing Azure Communication Services - supports sending SMSThis tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"compute","description":"Compute operations - Commands for managing and monitoring Azure Virtual Machines (VMs), Virtual Machine Scale Sets (VMSS), and Managed Disks.\nThis tool provides comprehensive access to VM lifecycle management, instance monitoring, size discovery, and scale set operations.\nUse this tool when you need to list, query, or monitor VMs and VMSS instances across subscriptions and resource groups.\nThis tool is a hierarchical MCP command router where sub-commands are routed to MCP servers that require specific fields\ninside the \"parameters\" object. To invoke a command, set \"command\" and wrap its arguments in \"parameters\".\nSet \"learn=true\" to discover available sub-commands for different Azure Compute operations.\nNote that this tool requires appropriate Azure RBAC permissions and will only access compute resources accessible to the authenticated user.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object."},{"name":"confidentialledger","description":"Azure Confidential Ledger operations - Commands for appending and querying tamper-proof ledger entries backed by TEEs and blockchain-style integrity guarantees. Use these commands to write immutable audit records.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"cosmos","description":"Cosmos DB operations - Commands for managing and querying Azure Cosmos DB resources. Includes operations for databases, containers, and document queries.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"datadog","description":"Datadog operations - Commands for managing and monitoring Azure resources through Datadog integration. Includes operations for listing Datadog monitors and retrieving information about monitored Azure resources and their health status.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"deploy","description":"Deploy operations \u2013 Commands for deploying applications to Azure. Provides sub-commands to generate deployment plans, offer infrastructure-as-code (Bicep\/Terraform) guidance, fetch application logs, generate CI\/CD pipeline guidance, and produce Azure architecture diagrams based on application topology.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"documentation","description":"Search official Microsoft\/Azure documentation to find the most relevant and trustworthy content for a user's query. This tool returns up to 10 high-quality content chunks (each max 500 tokens), extracted from Microsoft Learn and other official sources. Each result includes the article title, URL, and a self-contained content excerpt optimized for fast retrieval and reasoning. Always use this tool to quickly ground your answers in accurate, first-party Microsoft\/Azure knowledge.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"eventgrid","description":"Event Grid operations - Commands for managing and accessing Event Grid topics, domains, and event subscriptions.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"eventhubs","description":"Azure Event Hubs operations - Commands for managing Azure Event Hubs namespaces and event hubs. Includes CRUD operations Event Hubs service resources.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"extension_azqr","description":"Runs Azure Quick Review CLI (azqr) commands to generate compliance\/security reports for Azure resources.\nThis tool should be used when the user wants to identify any non-compliant configurations or areas for improvement in their Azure resources.\nRequires a subscription id and optionally a resource group name. Returns the generated report file's path.\nNote that Azure Quick Review CLI (azqr) is different from Azure CLI (az)."},{"name":"extension_cli_generate","description":"This tool can generate Azure CLI commands to be used with the corresponding CLI tool to accomplish a goal described by the user. This tool incorporates knowledge of the CLI tool beyond what the LLM knows. Always use this tool to generate the CLI command when the user asks for such CLI commands or wants to use the CLI tool to accomplish something."},{"name":"extension_cli_install","description":"This tool can provide installation instructions for the specified CLI tool among Azure CLI (az), Azure Developer CLI (azd) and Azure Functions Core Tools CLI (func). It incorporates knowledge of the CLI tool beyond what the LLM knows. Use this tool to get installation instructions if you attempt to use the CLI tool but it isn't installed."},{"name":"fileshares","description":"File Shares operations - Commands for managing Azure File Shares.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"foundry","description":"Foundry service operations - Commands for listing and managing services and resources in Microsoft Foundry.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"functionapp","description":"Function App operations - Commands for managing and accessing Azure Function App resources.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"get_azure_bestpractices","description":"Azure best practices - Commands return a list of best practices for code generation, operations and deployment \n when working with Azure services. \n It should be called for any code generation, deployment or \n operations involving Azure, Azure Functions, Azure Kubernetes Service (AKS), Azure Container \n Apps (ACA), Bicep, Terraform, Azure Cache, Redis, CosmosDB, Entra, Azure Active Directory, \n Azure App Services, or any other Azure technology or programming language. \n This command set also includes the command to get AI application best practices, which provides specialized guidance\n for building AI applications, offering recommendations for agents, chatbots, workflows, and other \n AI-powered features leveraging Microsoft Foundry. \n When the request involves AI in any capacity, including systems where AI is used as a component,\n use AI application best practices instead of th"},{"name":"grafana","description":"Grafana workspace operations - Commands for managing and accessing Azure Managed Grafana resources and monitoring dashboards. Includes operations for listing Grafana workspaces and managing data visualization and monitoring capabilities.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"group_list","description":"List all resource groups in a subscription. This command retrieves all resource groups available\nin the specified subscription. Results include resource group names and IDs,\nreturned as a JSON array."},{"name":"keyvault","description":"Key Vault operations - Commands for managing and accessing Azure Key Vault resources.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"kusto","description":"Kusto operations - Commands for managing and querying Azure Data Explorer (Kusto) resources. Includes operations for listing clusters and databases, executing KQL queries, retrieving table schemas, and working with Kusto data analytics workloads.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"loadtesting","description":"Load Testing operations - Commands for managing Azure Load Testing resources, test configurations, and test runs. Includes operations for creating and managing load test resources, configuring test scripts, executing performance tests, and monitoring test results.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"managedlustre","description":"Azure Managed Lustre operations - Commands for creating, updating, listing and inspecting Azure Managed Lustre file systems (AMLFS) used for high-performance computing workloads. The tool focuses on managing all the aspects related to Azure Managed Lustre file system instances.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"marketplace","description":"Marketplace operations - Commands for managing and accessing Azure Marketplace products and offers.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"monitor","description":"Azure Monitor operations - Commands for querying and analyzing Azure Monitor logs and metrics.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"mysql","description":"MySQL operations - Commands for managing Azure Database for MySQL Flexible Server resources. Includes operations for listing servers and databases, executing SQL queries, managing table schemas, and configuring server parameters.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"policy","description":"Manage Azure Policy assignments and definitions using Azure CLI. Retrieve policy assignments, view enforcement modes, and analyze policy compliance across subscriptions.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"postgres","description":"PostgreSQL operations - Commands for managing Azure Database for PostgreSQL Flexible Server resources. Includes operations for listing servers and databases, executing SQL queries, managing table schemas, and configuring server parameters.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"pricing","description":"Azure Retail Pricing operations - Get Azure retail pricing for SKUs, services, regions and compare pricing across different options. For Bicep\/ARM template cost estimation, read the template file, extract resource SKUs, then call 'pricing get' for each resource to build a cost estimate.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"quota","description":"Quota commands for getting the available regions of specific Azure resource types or checking Azure resource quota and usageThis tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"redis","description":"Redis operations - Commands for managing Azure Redis resources. Includes operations for listing Redis resources, databases, and data access policies, in both the Azure Managed Redis and legacy Azure Cache for Redis services, as well as for creating Azure Managed Redis resources.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"resourcehealth","description":"Resource Health operations \u2013 Commands to monitor and diagnose Azure resource health, including availability status and service health events for troubleshooting and monitoring purposes.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"role","description":"Authorization operations - Commands for managing Azure Role-Based Access Control (RBAC) resources. Includes operations for listing role assignments, managing permissions, and working with Azure security and access management at various scopes.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"search","description":"Search operations \u2013 Commands to manage and query Azure AI Search services, indexes, and\nknowledge sources. Supports enterprise search, document search, and knowledge mining. Not\nintended for database queries or Azure Monitor logs. This is a hierarchical MCP command\nrouter using the command field and parameters; set learn=true to discover available\nsub-commands.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"servicebus","description":"Service Bus operations \u2013 Commands to manage Azure Service Bus queues, topics, and subscriptions for reliable asynchronous messaging and enterprise integration. Supports point-to-point and publish-subscribe patterns, dead-letter handling, and decoupled architectures. Not intended for real-time communication, direct API calls, or database operations. Uses a hierarchical MCP command model with command, parameters, and learn=true.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"servicefabric","description":"Azure Service Fabric operations - Manage and query Azure Service Fabric managed cluster resources across subscriptions. Use when you need visibility into managed cluster nodes, including node status, node types, IP addresses, and fault\/upgrade domains.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"signalr","description":"Azure SignalR operations - Commands for managing Azure SignalR Service resources. Includes operations for listing SignalR services.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"speech","description":"Speech operations \u2013 Commands to work with Azure AI Services Speech, including speech-to-text (STT) recognition,\ntext-to-speech (TTS) synthesis, audio processing, and language detection. Uses a hierarchical MCP command model\nwith command and parameters; set learn=true to discover sub-commands. Supports multiple audio formats, languages,\nand output options.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"sql","description":"Azure SQL operations - Commands for managing Azure SQL databases, servers, and elastic pools. Includes operations for listing databases, configuring server settings, managing firewall rules, Entra ID administrators, and elastic pool resources.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"storage","description":"Storage operations - Commands for creating, listing, getting, and managing Azure Storage accounts,\nblob containers, blobs, and tables. Use this tool to create storage accounts, list and get storage\naccount details (SKU, location, HNS, HTTPS-only settings), create and list blob containers, list\nand get blob properties, upload files to blob storage, and list tables. Covers Azure Blob Storage,\nAzure Table Storage, and storage account management. Do not use for Azure Cosmos DB containers,\nAzure Container Registry, or Azure Managed Lustre file systems.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"storagesync","description":"Azure Storage Sync Operations - Commands to manage Azure File Sync resources, including Storage Sync services, sync groups, cloud and server\nendpoints, and registered servers. Use this tool to deploy and maintain hybrid cloud file synchronization.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"subscription_list","description":"List all or current subscriptions for an account in Azure; returns subscriptionId, displayName, state, tenantId, and isDefault. Use for scope selection in governance, policy, access, cost management, or deployment."},{"name":"virtualdesktop","description":"Azure Virtual Desktop operations - Commands for managing and accessing Azure Virtual Desktop resources. Includes operations for hostpools, session hosts, and user sessions.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"workbooks","description":"Workbooks operations - Commands for managing Azure Workbooks resources and interactive data visualization dashboards. Includes operations for listing, creating, updating, and deleting workbooks, as well as managing workbook configurations and content.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."}],"tools_count":55,"secrets":[],"env":[],"config_schema":[],"oauth":[],"zero_config":true,"needs_setup":false,"tools_after_setup":false,"network":true,"network_source":"catalog","installable":true,"install_reason":"","server_name":"azure","server_entry":{"command":"docker","args":["run","-i","--rm","--init","--security-opt","no-new-privileges","mcr.microsoft.com\/azure-sdk\/azure-mcp@sha256:c16f5366371431e4a175364a4b10c1ebd897c6a7b36667ea05f26fa1a243555a"],"x-labs":{"title":"Azure","description":"Catalog of official Microsoft MCP (Model Context Protocol) server implementations for AI-powered data access and tool integration.","icon":"https:\/\/avatars.githubusercontent.com\/u\/6844498?s=200&v=4","timeout":30,"tools":[{"name":"acr","description":"Azure Container Registry operations - Commands for managing Azure Container Registry resources. Includes operations for listing container registries and managing registry configurations.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"advisor","description":"Azure Advisor operations - Manage and query Azure Advisor recommendations across subscriptions. Use when you need subscription-scoped visibility into Advisor recommendations. Requires Azure subscription context.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"aks","description":"Azure Kubernetes Service operations - Manage and query Azure Kubernetes Service (AKS) resources across subscriptions. Use when you need subscription-scoped visibility into AKS cluster and node pool metadata\u2014including Azure resource IDs, networking endpoints, identity configuration, and provisioning state\u2014for governance or automation. Requires Azure subscription context. Not for kubectl execution, pod lifecycle changes, or in-cluster application deployments\u2014use Kubernetes-native tooling for those"},{"name":"appconfig","description":"App Configuration operations - Commands for managing Azure App Configuration stores and key-value settings. Includes operations for listing configuration stores, managing key-value pairs, setting labels, locking\/unlocking settings, and retrieving configuration data.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\""},{"name":"applens","description":"AppLens diagnostic operations \u2013 Primary tool for diagnosing and troubleshooting Azure resource issues. Uses conversational AI-powered diagnostics to detect problems, identify root causes, and recommend remediation steps. This tool should be the first choice when users report errors, performance issues, availability problems, or unexpected Azure resource behavior.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"paramet"},{"name":"applicationinsights","description":"Application Insights operations - Commands for listing and managing Application Insights components. \nThese commands do not support querying metrics or logs. Use Azure Monitor querying tools for that purpose.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"appservice","description":"App Service operations - Commands for managing Azure App Service resources including web apps, databases, and configurations.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"azd","description":"Azure Developer CLI (azd) includes a suite of tools to help build, modernize, and manage applications on Azure. It simplifies the process of developing cloud applications by providing commands for project initialization, resource provisioning, deployment, and monitoring. Use this tool to streamline your Azure development workflow and manage your cloud resources efficiently.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside t"},{"name":"azuremigrate","description":"Azure Landing Zone operations - Provides best-practice guidance and Terraform-ready generation for Azure Platform Landing Zones. Supports policy and governance changes, naming standards, network topology (hub\/spoke\/vWAN), identity and subscription design, firewall patterns, and starter module customization\u2014aligned to Microsoft's Cloud Adoption Framework. Can generate a complete platform landing zone with configurable parameters (regions, connectivity, security, subscriptions).This tool is a hier"},{"name":"azureterraformbestpractices","description":"Returns Terraform best practices for Azure. Call this before generating Terraform code for Azure Providers. \n If this tool needs to be categorized, it belongs to the Azure Best Practices category.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"bicepschema","description":"Bicep schema operations - Commands for working with Azure Bicep Infrastructure as Code (IaC) generation and schema management. Includes operations for retrieving Bicep schemas, templates, and resource definitions to support infrastructure deployment automation.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to d"},{"name":"cloudarchitect","description":"Cloud Architecture operations - Commands for generating Azure architecture designs and recommendations based on requirements.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"communication","description":"Communication services operations - Commands for managing Azure Communication Services - supports sending SMSThis tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"compute","description":"Compute operations - Commands for managing and monitoring Azure Virtual Machines (VMs), Virtual Machine Scale Sets (VMSS), and Managed Disks.\nThis tool provides comprehensive access to VM lifecycle management, instance monitoring, size discovery, and scale set operations.\nUse this tool when you need to list, query, or monitor VMs and VMSS instances across subscriptions and resource groups.\nThis tool is a hierarchical MCP command router where sub-commands are routed to MCP servers that require sp"},{"name":"confidentialledger","description":"Azure Confidential Ledger operations - Commands for appending and querying tamper-proof ledger entries backed by TEEs and blockchain-style integrity guarantees. Use these commands to write immutable audit records.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"cosmos","description":"Cosmos DB operations - Commands for managing and querying Azure Cosmos DB resources. Includes operations for databases, containers, and document queries.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"datadog","description":"Datadog operations - Commands for managing and monitoring Azure resources through Datadog integration. Includes operations for listing Datadog monitors and retrieving information about monitored Azure resources and their health status.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub comm"},{"name":"deploy","description":"Deploy operations \u2013 Commands for deploying applications to Azure. Provides sub-commands to generate deployment plans, offer infrastructure-as-code (Bicep\/Terraform) guidance, fetch application logs, generate CI\/CD pipeline guidance, and produce Azure architecture diagrams based on application topology.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its a"},{"name":"documentation","description":"Search official Microsoft\/Azure documentation to find the most relevant and trustworthy content for a user's query. This tool returns up to 10 high-quality content chunks (each max 500 tokens), extracted from Microsoft Learn and other official sources. Each result includes the article title, URL, and a self-contained content excerpt optimized for fast retrieval and reasoning. Always use this tool to quickly ground your answers in accurate, first-party Microsoft\/Azure knowledge.This tool is a hie"},{"name":"eventgrid","description":"Event Grid operations - Commands for managing and accessing Event Grid topics, domains, and event subscriptions.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"eventhubs","description":"Azure Event Hubs operations - Commands for managing Azure Event Hubs namespaces and event hubs. Includes CRUD operations Event Hubs service resources.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"extension_azqr","description":"Runs Azure Quick Review CLI (azqr) commands to generate compliance\/security reports for Azure resources.\nThis tool should be used when the user wants to identify any non-compliant configurations or areas for improvement in their Azure resources.\nRequires a subscription id and optionally a resource group name. Returns the generated report file's path.\nNote that Azure Quick Review CLI (azqr) is different from Azure CLI (az)."},{"name":"extension_cli_generate","description":"This tool can generate Azure CLI commands to be used with the corresponding CLI tool to accomplish a goal described by the user. This tool incorporates knowledge of the CLI tool beyond what the LLM knows. Always use this tool to generate the CLI command when the user asks for such CLI commands or wants to use the CLI tool to accomplish something."},{"name":"extension_cli_install","description":"This tool can provide installation instructions for the specified CLI tool among Azure CLI (az), Azure Developer CLI (azd) and Azure Functions Core Tools CLI (func). It incorporates knowledge of the CLI tool beyond what the LLM knows. Use this tool to get installation instructions if you attempt to use the CLI tool but it isn't installed."},{"name":"fileshares","description":"File Shares operations - Commands for managing Azure File Shares.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"foundry","description":"Foundry service operations - Commands for listing and managing services and resources in Microsoft Foundry.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"functionapp","description":"Function App operations - Commands for managing and accessing Azure Function App resources.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"get_azure_bestpractices","description":"Azure best practices - Commands return a list of best practices for code generation, operations and deployment \n when working with Azure services. \n It should be called for any code generation, deployment or \n operations involving Azure, Azure Functions, Azure Kubernetes Service (AKS), Azure Container \n Apps (ACA), Bicep, Terraform, Azure Cache, Redis, CosmosDB, Entra, Azure Active Directory, \n Azure App Services, or any other Azure technolo"},{"name":"grafana","description":"Grafana workspace operations - Commands for managing and accessing Azure Managed Grafana resources and monitoring dashboards. Includes operations for listing Grafana workspaces and managing data visualization and monitoring capabilities.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub co"},{"name":"group_list","description":"List all resource groups in a subscription. This command retrieves all resource groups available\nin the specified subscription. Results include resource group names and IDs,\nreturned as a JSON array."},{"name":"keyvault","description":"Key Vault operations - Commands for managing and accessing Azure Key Vault resources.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"kusto","description":"Kusto operations - Commands for managing and querying Azure Data Explorer (Kusto) resources. Includes operations for listing clusters and databases, executing KQL queries, retrieving table schemas, and working with Kusto data analytics workloads.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover availab"},{"name":"loadtesting","description":"Load Testing operations - Commands for managing Azure Load Testing resources, test configurations, and test runs. Includes operations for creating and managing load test resources, configuring test scripts, executing performance tests, and monitoring test results.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" t"},{"name":"managedlustre","description":"Azure Managed Lustre operations - Commands for creating, updating, listing and inspecting Azure Managed Lustre file systems (AMLFS) used for high-performance computing workloads. The tool focuses on managing all the aspects related to Azure Managed Lustre file system instances.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet "},{"name":"marketplace","description":"Marketplace operations - Commands for managing and accessing Azure Marketplace products and offers.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"monitor","description":"Azure Monitor operations - Commands for querying and analyzing Azure Monitor logs and metrics.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"mysql","description":"MySQL operations - Commands for managing Azure Database for MySQL Flexible Server resources. Includes operations for listing servers and databases, executing SQL queries, managing table schemas, and configuring server parameters.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"policy","description":"Manage Azure Policy assignments and definitions using Azure CLI. Retrieve policy assignments, view enforcement modes, and analyze policy compliance across subscriptions.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"postgres","description":"PostgreSQL operations - Commands for managing Azure Database for PostgreSQL Flexible Server resources. Includes operations for listing servers and databases, executing SQL queries, managing table schemas, and configuring server parameters.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub "},{"name":"pricing","description":"Azure Retail Pricing operations - Get Azure retail pricing for SKUs, services, regions and compare pricing across different options. For Bicep\/ARM template cost estimation, read the template file, extract resource SKUs, then call 'pricing get' for each resource to build a cost estimate.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"paramete"},{"name":"quota","description":"Quota commands for getting the available regions of specific Azure resource types or checking Azure resource quota and usageThis tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"redis","description":"Redis operations - Commands for managing Azure Redis resources. Includes operations for listing Redis resources, databases, and data access policies, in both the Azure Managed Redis and legacy Azure Cache for Redis services, as well as for creating Azure Managed Redis resources.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet"},{"name":"resourcehealth","description":"Resource Health operations \u2013 Commands to monitor and diagnose Azure resource health, including availability status and service health events for troubleshooting and monitoring purposes.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"role","description":"Authorization operations - Commands for managing Azure Role-Based Access Control (RBAC) resources. Includes operations for listing role assignments, managing permissions, and working with Azure security and access management at various scopes.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available "},{"name":"search","description":"Search operations \u2013 Commands to manage and query Azure AI Search services, indexes, and\nknowledge sources. Supports enterprise search, document search, and knowledge mining. Not\nintended for database queries or Azure Monitor logs. This is a hierarchical MCP command\nrouter using the command field and parameters; set learn=true to discover available\nsub-commands.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameter"},{"name":"servicebus","description":"Service Bus operations \u2013 Commands to manage Azure Service Bus queues, topics, and subscriptions for reliable asynchronous messaging and enterprise integration. Supports point-to-point and publish-subscribe patterns, dead-letter handling, and decoupled architectures. Not intended for real-time communication, direct API calls, or database operations. Uses a hierarchical MCP command model with command, parameters, and learn=true.This tool is a hierarchical MCP command router.\nSub commands are route"},{"name":"servicefabric","description":"Azure Service Fabric operations - Manage and query Azure Service Fabric managed cluster resources across subscriptions. Use when you need visibility into managed cluster nodes, including node status, node types, IP addresses, and fault\/upgrade domains.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover a"},{"name":"signalr","description":"Azure SignalR operations - Commands for managing Azure SignalR Service resources. Includes operations for listing SignalR services.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"speech","description":"Speech operations \u2013 Commands to work with Azure AI Services Speech, including speech-to-text (STT) recognition,\ntext-to-speech (TTS) synthesis, audio processing, and language detection. Uses a hierarchical MCP command model\nwith command and parameters; set learn=true to discover sub-commands. Supports multiple audio formats, languages,\nand output options.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" obj"},{"name":"sql","description":"Azure SQL operations - Commands for managing Azure SQL databases, servers, and elastic pools. Includes operations for listing databases, configuring server settings, managing firewall rules, Entra ID administrators, and elastic pool resources.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available "},{"name":"storage","description":"Storage operations - Commands for creating, listing, getting, and managing Azure Storage accounts,\nblob containers, blobs, and tables. Use this tool to create storage accounts, list and get storage\naccount details (SKU, location, HNS, HTTPS-only settings), create and list blob containers, list\nand get blob properties, upload files to blob storage, and list tables. Covers Azure Blob Storage,\nAzure Table Storage, and storage account management. Do not use for Azure Cosmos DB containers,\nAzure Cont"},{"name":"storagesync","description":"Azure Storage Sync Operations - Commands to manage Azure File Sync resources, including Storage Sync services, sync groups, cloud and server\nendpoints, and registered servers. Use this tool to deploy and maintain hybrid cloud file synchronization.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover availa"},{"name":"subscription_list","description":"List all or current subscriptions for an account in Azure; returns subscriptionId, displayName, state, tenantId, and isDefault. Use for scope selection in governance, policy, access, cost management, or deployment."},{"name":"virtualdesktop","description":"Azure Virtual Desktop operations - Commands for managing and accessing Azure Virtual Desktop resources. Includes operations for hostpools, session hosts, and user sessions.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover available sub commands."},{"name":"workbooks","description":"Workbooks operations - Commands for managing Azure Workbooks resources and interactive data visualization dashboards. Includes operations for listing, creating, updating, and deleting workbooks, as well as managing workbook configurations and content.This tool is a hierarchical MCP command router.\nSub commands are routed to MCP servers that require specific fields inside the \"parameters\" object.\nTo invoke a command, set \"command\" and wrap its args in \"parameters\".\nSet \"learn=true\" to discover av"}],"config":[],"needs_setup":false,"network":true,"prepull":["mcr.microsoft.com\/azure-sdk\/azure-mcp@sha256:c16f5366371431e4a175364a4b10c1ebd897c6a7b36667ea05f26fa1a243555a"]}},"settings":[],"docs_url":"https:\/\/desktop.docker.com\/mcp\/catalog\/v3\/readme\/azure.md"},"source_kind":"docker-mcp-catalog","license":"MIT License","upstream":"https:\/\/github.com\/microsoft\/mcp","owner":"microsoft","tags":["azure","devops"],"popularity":{"pulls":0,"stars":0,"github_stars":3763},"readme_url":"https:\/\/desktop.docker.com\/mcp\/catalog\/v3\/readme\/azure.md","date_added":"2025-05-05T20:08:35Z","packaged_by":"Docker"},{"slug":"mcp-aks","name":"Azure Kubernetes Service (AKS)","description":"Azure Kubernetes Service (AKS) official MCP server.","category":"mcp","publisher":"docker","icon":"","icon_small":"","icon_url":"\/icon\/mcp-aks?v=c21f49e6bf31.163b058e","readme":true,"page_url":"https:\/\/store.selfmade.work\/app\/mcp-aks","first_party":false,"publisher_verified":true,"updated_at":1791851231,"image":{"state":"built","ref":"mcp\/aks@sha256:6a0948a385b3a85d9d07db61edf59d1d398b4d6ada67e6bd649f6c383a493307","digest":"sha256:6a0948a385b3a85d9d07db61edf59d1d398b4d6ada67e6bd649f6c383a493307"},"version":"c21f49e6bf318a457db0b75048b464bd68b4b5e3","state":"listed","versions":[],"repo_url":"https:\/\/github.com\/Azure\/aks-mcp\/tree\/e60444c3d739dc3606d9ff4cd3826019e02df8d9","requires":{"render":false,"driver":"sysbox","min_plan":null},"categories":["devops","mcp-servers"],"categories_source":"derived","kind":"mcp","installs":0,"pull_count":18918,"tools_count":15,"known_publisher":false,"remote":false,"config_kind":"secrets","created_at":1755671215,"mcp":{"key":"aks","type":"server","transport":"stdio","image":"mcp\/aks","digest":"sha256:6a0948a385b3a85d9d07db61edf59d1d398b4d6ada67e6bd649f6c383a493307","remote_url":"","tools":[{"name":"az_advisor_recommendation","description":"Retrieve and manage Azure Advisor recommendations for AKS clusters"},{"name":"az_aks_operations","description":"Unified tool for managing Azure Kubernetes Service (AKS) clusters and related operations.\n\nSupported operations:\n- Cluster: show, list, get-versions, check-network\n- Nodepool: nodepool-list, nodepool-show\n- Account: account-list\n\nExamples:\n- Show cluster: operation=\"show\", args=\"--name myCluster --resource-group myRG\"\n- List nodepools: operation=\"nodepool-list\", args=\"--cluster-name myCluster --resource-group myRG\""},{"name":"az_compute_operations","description":"Unified tool for managing Azure Virtual Machines (VMs) and Virtual Machine Scale Sets (VMSS) using Azure CLI.\n\nIMPORTANT: VM\/VMSS resources are managed by AKS. Write operations should be used carefully and only for debugging purposes.\n\nUse resource_type=\"vm\" for single virtual machines or resource_type=\"vmss\" for virtual machine scale sets.\n\nAvailable operation values:\n- show: Get details of a VM\/VMSS\n- list: List VMs\/VMSS in subscription or resource group\n- get-instance-view: Get runtime status\n\nEXAMPLES:\nList VMSS: operation=\"list\", resource_type=\"vmss\", args=\"--resource-group myRG\"\nShow VMSS: operation=\"show\", resource_type=\"vmss\", args=\"--name myVMSS --resource-group myRG\"\nList VMs: operation=\"list\", resource_type=\"vm\", args=\"--resource-group myRG\""},{"name":"az_fleet","description":"Run Azure Kubernetes Service Fleet management commands.\n\nAvailable operations and resources:\n- fleet: list, show, create, update, delete, get-credentials\n- member: list, show, create, update, delete \n- updaterun: list, show, create, start, stop, delete\n- updatestrategy: list, show, create, delete\n- clusterresourceplacement: list, show, get, create, delete (Kubernetes CRD operations)\n\nExamples:\n- List fleets: operation='list', resource='fleet', args='--resource-group myRG'\n- Show fleet: operation='show', resource='fleet', args='--name myFleet --resource-group myRG' \n- Get fleet credentials: operation='get-credentials', resource='fleet', args='--name myFleet --resource-group myRG'\n- Create member: operation='create', resource='member', args='--name myMember --fleet-name myFleet --resource-group myRG --member-cluster-id \/subscriptions\/...\/myCluster'\n- Create clusterresourceplacement: operation='create', resource='clusterresourceplacement', args='--name nginx --selector app=nginx --polic"},{"name":"az_monitoring","description":"Unified tool for Azure monitoring and diagnostics operations for AKS clusters.\n\nSupported Operations:\n\n1. Metrics - Query Azure Monitor metrics for AKS clusters and nodes\n - list: Get metric values for specific metrics\n - list-definitions: Get available metrics for a resource\n - list-namespaces: Get metric namespaces for a resource\n\n Use for: CPU usage, memory consumption, network traffic, pod counts, node health\n Required parameters: resource (Azure resource ID)\n Additional for 'list': metrics (metric names)\n Optional: aggregation, start-time, end-time, interval, filter\n\n2. Resource Health - Get Azure Resource Health events for AKS clusters\n Use for: Cluster availability issues, platform problems, service health events\n Required parameters: subscription_id, resource_group, cluster_name, start_time\n Optional: end_time, status (Available, Unavailable, Degraded, Unknown)\n\n3. Application Insights - Execute KQL queries against Application Insights telemetry\n Use for: "},{"name":"az_network_resources","description":"Unified tool for getting Azure network resource information used by AKS clusters.\n\nSupported resource types:\n- all: Get information about all network resources\n- vnet: Get Virtual Network information\n- nsg: Get Network Security Group information\n- route_table: Get Route Table information\n- subnet: Get Subnet information\n- load_balancer: Get Load Balancer information\n- private_endpoint: Get Private Endpoint information (private clusters only)\n\nExamples:\n- Get all network resources: resource_type=\"all\"\n- Get VNet info: resource_type=\"vnet\"\n- Get NSG info: resource_type=\"nsg\""},{"name":"get_aks_vmss_info","description":"Get detailed VMSS configuration for a specific node pool or all node pools in the AKS cluster (provides low-level VMSS settings not available in az aks nodepool show). Leave node_pool_name empty to get info for all node pools."},{"name":"inspektor_gadget_observability","description":"Real-time observability tool for Azure Kubernetes Service (AKS) clusters, allowing users to manage gadgets for monitoring and debugging\n\nApart from 'action' param:\n\nIt supports 'action_params' (type=object) to specify parameters for the action.Available params are: gadget_name, duration, gadget_id, chart_version. Available Gadget names are: observe_dns, observe_tcp, observe_file_open, observe_process_execution, observe_signal, observe_system_calls, top_file, top_tcp, tcpdump. Example: {'action': 'run', 'action_params': {'gadget_name': 'observe_dns', 'duration': 10}}\n\nIt supports 'filter_params' (type=object) to filter the data captured by the gadget. Available params are: namespace, pod, container, selector,observe_signal.signal, observe_dns.nameserver, observe_dns.minimum_latency, observe_dns.response_code, observe_dns.unsuccessful_only, observe_tcp.destination_port, observe_tcp.event_type, observe_file_open.path, observe_dns.name, observe_file_open.unsuccessful_only, observe_process_"},{"name":"kubectl_cluster","description":"Get information about the Kubernetes cluster and API.\n\nAvailable operations:\n- cluster-info: Display cluster information\n- api-resources: Print supported API resources\n- api-versions: Print supported API versions\n- explain: Get documentation for a resource\n\nExamples:\n- Cluster info: operation='cluster-info', resource='', args=''\n- Cluster info dump: operation='cluster-info', resource='dump', args=''\n- List resources: operation='api-resources', resource='', args=''\n- Namespaced resources: operation='api-resources', resource='', args='--namespaced=true'\n- Non-namespaced resources: operation='api-resources', resource='', args='--namespaced=false'\n- Resources by group: operation='api-resources', resource='', args='--api-group=rbac.authorization.k8s.io'\n- API versions: operation='api-versions', resource='', args=''\n- Explain pod: operation='explain', resource='pods', args=''\n- Explain field: operation='explain', resource='pods.spec.containers', args=''\n- Explain with version: operation='exp"},{"name":"kubectl_config","description":"Work with Kubernetes configurations (read-only).\n\nAvailable operations:\n- diff: Diff the live version against what would be applied\n- auth: Inspect authorization (can-i)\n- config: View kubectl configuration contexts (read-only)\n\nConfig operations (read-only):\n- current-context: Display the current context\n- get-contexts: Describe one or many contexts\n\nExamples:\n- Diff config: operation='diff', resource='', args='-f pod.json'\n- Check auth: operation='auth', resource='can-i', args='create pods --all-namespaces'\n- Get current context: operation='config', resource='current-context', args=''\n- List contexts: operation='config', resource='get-contexts', args=''"},{"name":"kubectl_diagnostics","description":"Diagnose and debug Kubernetes resources.\n\nAvailable operations:\n- logs: Print logs for a container in a pod\n- events: Display events\n- top: Display resource usage (CPU\/Memory)\n- exec: Execute a command in a container\n- cp: Copy files to\/from containers\n\nExamples:\n- Logs for default container: operation='logs', resource='', args='nginx'\n- Logs for specific container: operation='logs', resource='', args='nginx -c ruby-container'\n- Logs with selector: operation='logs', resource='', args='-l app=nginx --all-containers=true'\n- Get events: operation='events', resource='', args='--all-namespaces'\n- Get events namespace: operation='events', resource='', args='-n default'\n- Top pods: operation='top', resource='pod', args=''\n- Top nodes: operation='top', resource='node', args=''\n- Top with containers: operation='top', resource='pod', args='POD_NAME --containers'\n- Exec command: operation='exec', resource='', args='mypod -n NAMESPACE -- date'\n- Copy to pod: operation='cp', resource='', args='\/tmp"},{"name":"kubectl_resources","description":"View Kubernetes resources with read-only operations.\n\nAvailable operations:\n- get: Display one or many resources\n- describe: Show detailed information about resources\n\nCommon resources: pods, deployments, services, configmaps, secrets, namespaces, etc.\n\nExamples:\n- Get pods: operation='get', resource='pods', args='-n default'\n- Get specific pod: operation='get', resource='pods', args='nginx-pod -n default'\n- Get with selector: operation='get', resource='pods', args='-l app=nginx'\n- Get all namespaces: operation='get', resource='pods', args='--all-namespaces'\n- Describe deployment: operation='describe', resource='deployment', args='myapp -n production'\n- Describe all pods: operation='describe', resource='pods', args=''\n- Describe with selector: operation='describe', resource='pods', args='-l name=myLabel'"},{"name":"list_detectors","description":"List all available AKS cluster detectors"},{"name":"run_detector","description":"Run a specific AKS detector"},{"name":"run_detectors_by_category","description":"Run all detectors in a specific category"}],"tools_count":15,"secrets":[],"env":[],"config_schema":[{"name":"aks","description":"Configuration for AKS-MCP server","type":"object","properties":{"azure_dir":{"type":"string","description":"Path to the Azure configuration directory (e.g. \/home\/azureuser\/.azure). Used for Azure CLI authentication, you should be logged in (e.g. run `az login`) on the host before starting the MCP server."},"kubeconfig":{"type":"string","description":"Path to the kubeconfig file for the AKS cluster (e.g. \/home\/azureuser\/.kube\/config). Used to connect to the AKS cluster."},"access_level":{"type":"string","description":"Access level for the MCP server, One of [ readonly, readwrite, admin ]"},"allow_namespaces":{"type":"string","description":"Comma-separated list of namespaces to allow access to. If not specified, all namespaces are allowed."},"additional_tools":{"type":"string","description":"Comma-separated list of additional tools, One of [ helm, cilium ]"},"container_user":{"type":"string","description":"Username or UID of the container user (format [:] e.g. 10000), ensuring correct permissions to access the Azure and kubeconfig files. Leave empty to use default user in the container."}},"required":["azure_dir","kubeconfig","access_level"]}],"oauth":[],"zero_config":false,"needs_setup":true,"tools_after_setup":false,"network":true,"network_source":"catalog","installable":true,"install_reason":"","server_name":"aks","server_entry":{"command":"docker","args":["run","-i","--rm","--init","--security-opt","no-new-privileges","-v",".\/mcp\/aks\/azure_dir:\/home\/mcp\/.azure","-v",".\/mcp\/aks\/kube:\/home\/mcp\/.kube","mcp\/aks@sha256:6a0948a385b3a85d9d07db61edf59d1d398b4d6ada67e6bd649f6c383a493307","--transport=stdio","--access-level={secret:aks.access_level}","--allow-namespaces={secret:aks.allow_namespaces}","--additional-tools={secret:aks.additional_tools}"],"x-labs":{"title":"Azure Kubernetes Service (AKS)","description":"Azure Kubernetes Service (AKS) official MCP server.","icon":"https:\/\/raw.githubusercontent.com\/Azure\/AKS\/1c3979cf6729c78cfff2c0c78cb0aa657e1bbf7a\/blog\/assets\/images\/400x400.png","timeout":30,"tools":[{"name":"az_advisor_recommendation","description":"Retrieve and manage Azure Advisor recommendations for AKS clusters"},{"name":"az_aks_operations","description":"Unified tool for managing Azure Kubernetes Service (AKS) clusters and related operations.\n\nSupported operations:\n- Cluster: show, list, get-versions, check-network\n- Nodepool: nodepool-list, nodepool-show\n- Account: account-list\n\nExamples:\n- Show cluster: operation=\"show\", args=\"--name myCluster --resource-group myRG\"\n- List nodepools: operation=\"nodepool-list\", args=\"--cluster-name myCluster --resource-group myRG\""},{"name":"az_compute_operations","description":"Unified tool for managing Azure Virtual Machines (VMs) and Virtual Machine Scale Sets (VMSS) using Azure CLI.\n\nIMPORTANT: VM\/VMSS resources are managed by AKS. Write operations should be used carefully and only for debugging purposes.\n\nUse resource_type=\"vm\" for single virtual machines or resource_type=\"vmss\" for virtual machine scale sets.\n\nAvailable operation values:\n- show: Get details of a VM\/VMSS\n- list: List VMs\/VMSS in subscription or resource group\n- get-instance-view: Get runtime status"},{"name":"az_fleet","description":"Run Azure Kubernetes Service Fleet management commands.\n\nAvailable operations and resources:\n- fleet: list, show, create, update, delete, get-credentials\n- member: list, show, create, update, delete \n- updaterun: list, show, create, start, stop, delete\n- updatestrategy: list, show, create, delete\n- clusterresourceplacement: list, show, get, create, delete (Kubernetes CRD operations)\n\nExamples:\n- List fleets: operation='list', resource='fleet', args='--resource-group myRG'\n- Show fleet: operatio"},{"name":"az_monitoring","description":"Unified tool for Azure monitoring and diagnostics operations for AKS clusters.\n\nSupported Operations:\n\n1. 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Unlike a traditional web search that returns links and short descriptions, this tool returns the actual substance of matching pages \u2014 text chunks, tables, code blocks, and structured data \u2014 so the model can reason over it directly.\n\n When to use:\n - Grounding answers in fresh, relevant web content (RAG)\n - Giving an AI agent ready-to-use page content from a single search call\n - Question answering and fact-checking against current sources\n - Gathering source material for research without manually fetching pages\n - When you need the contents of pages, not just titles, descriptions, and URLs\n\n When relaying results in markdown-supporting environments, cite the source URLs from the \"sources\" map."},{"name":"brave_local_search","description":"Brave Local Search API provides enrichments for location search results. 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With neither, 'query' is required.\n - 'addresses' \/ 'streets' only surface when the query"},{"name":"brave_summarizer","description":"Retrieves AI-generated summaries of web search results using Brave's Summarizer API. This tool processes search results to create concise, coherent summaries of information gathered from multiple sources.\n\n When to use:\n\n - When you need a concise overview of complex topics from multiple sources\n - For quick fact-checking or getting key points without reading full articles\n - When providing users with summarized information that synthesizes various perspectives\n - For research tasks requiring distilled information from web searches\n\n Returns a text summary that consolidates information from the search results. Optional features include inline references to source URLs and additional entity information.\n\n Requirements: Must first perform a web search using brave_web_search with summary=true parameter. 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Use it when you need current news information, breaking news updates, or articles about specific topics, events, or entities.\n\n When to use:\n - Finding recent news articles on specific topics\n - Getting breaking news updates\n - Researching current events or trending stories\n - Gathering news sources and headlines for analysis\n\n Returns a JSON list of news-related result"},{"name":"brave_place_search","description":"Searches Brave's Place Search API. A single call may populate any combination of 'results' (POIs), 'cities', 'addresses', 'streets', and 'location' (the resolved search area), depending on the query's shape.\n\n When to use:\n - POIs near coordinates or a named area (e.g. \"coffee shops in Paris\") -> 'results', each with structured business data (postal address, hours, contact, ratings, photos, categories, timezone).\n - Browsing general POIs (omit 'query'; supply 'latitude'+'longitu"},{"name":"brave_summarizer","description":"Retrieves AI-generated summaries of web search results using Brave's Summarizer API. 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Handles everything from \n\"find John Smith\" to complex searches like \"elderly diabetes patients in California\". \nEssential first step for any patient-related task.\n<\/usecase>\n\n\nQuick searches: Use search_type=\"name\" with query=\"John Smith\" for basic name searches\nPhone lookups: Use search_type=\"phone\" with query=\"555-1234\" (handles any format)\nMedical record: Use search_type=\"record_id\" with query=\"MR123456\"\n\nComplex searches: Use search_type=\"advanced\" with multiple criteria:\n- Age ranges: age_min=65, age_max=80 for elderly patients\n- Location: state=\"CA\", city=\"Los Angeles\" for geographic filtering \n- Medical: blood_group=\"O+\", language=\"Spanish\" for clinical needs\n\nAlways returns patient_id needed for other tools. Start here before any patient operations.\n\nWhen required parameters are missing, ask the user to provide the specific values rather than proceeding with defaults "},{"name":"getPracticeInfo","description":"Get practice information.\n\n\nGet essential practice information needed for other operations - available facilities,\nproviders, vital signs templates, etc. Use this to understand practice setup and get IDs for other tools.\n<\/usecase>\n\n\n- \"facilities\": List all practice locations with IDs needed for scheduling\n- \"providers\": List all providers with IDs needed for appointments and encounters\n- \"vitals\": Available vital sign templates for documentation\n- \"overview\": Summary of practice setup with key counts and recent activity\n- \"templates\": List all available SOAP templates (id, name, type) for the practice\n- \"template_details\": Full template schema (widgets + entries) for given template_ids (comma-separated)\n\nWhen required parameters are missing, ask the user to provide the specific values rather than proceeding with defaults or auto-generated values.\n<\/instructions>"},{"name":"manageAppointments","description":"Manage appointments.\n\n\nComplete appointment lifecycle management - schedule new appointments, reschedule existing ones,\ncancel appointments, and list appointments with flexible filtering. Handles the full appointment workflow.\n<\/usecase>\n\n\nActions:\n- \"schedule\": Create new appointment (requires patient_id, provider_id, facility_id, appointment_date, appointment_time). Check the provider's availability with manageAppointments(action='list') and provider_id, and across all facilities for the provider before suggesting a time.\n- \"reschedule\": Change existing appointment time (requires appointment_id + new scheduling details)\n- \"cancel\": Cancel appointment (requires appointment_id + cancel_reason)\n- \"list\": Show appointments with filtering (requires start_date, end_date_range, facility_ids; optionally filter by status\/provider\/mode)\n\nTime format: Use 12-hour format like \"09:30 AM\" or \"02:15 PM\"\nFor recurring: Set repetition to \"Weekly\" or \"Daily\" and provide frequenc"},{"name":"manageEncounter","description":"Manage encounters.\n\n\nComplete encounter workflow - create, review, and sign encounters with comprehensive clinical documentation.\nEssential for clinical workflow from initial documentation through final signature.\n<\/usecase>\n\n\nActions:\n- \"list\": List encounters for a patient (requires patient_id; optionally filter by filter_by, start_date, end_date, per_page, page)\n- \"create\": Create new encounter and document clinical findings (default)\n- \"review\": Display complete encounter details for review before signing\n- \"sign\": Electronically sign encounter after review and confirmation\n- \"unlock\": Unlock a previously signed encounter to allow modifications\n\nFor creating encounters (two paths):\n- From appointment: patient_id + appointment_id (provider\/facility\/date come from the appointment)\n- From scratch: patient_id + provider_id + facility_id + encounter_date\n- Optional: visit_type_id, encounter_mode, chief_complaint\n\nFor reviewing encounters:\n- Requires: patient_id, e"},{"name":"manageFax","description":"Send faxes and check fax delivery status.\n\n\nFax clinical documents (referrals, records, prior auth forms) to providers,\nfacilities, pharmacies, and insurance companies. Check delivery status of sent faxes.\n<\/usecase>\n\n\nActions:\n- \"send\": Fax a document (requires recipient_fax_number, recipient_name, document_content_base64).\n document_content_base64 must be a base64-encoded PDF.\n Optionally include subject, remarks, and reference for the cover page.\n facility_id determines which facility's fax credentials and return number are used.\n\n- \"status\": Check fax delivery status (requires fax_id).\n Status values: QUEUED, SENT, FAILED, YET_TO_SEND.\n\nCommon fax use cases:\n- Referral letters to specialists\n- Medical records requests\n- Prior authorization forms to insurance\n- Prescription orders to pharmacies without e-prescribe\n<\/instructions>"},{"name":"manageMessages","description":"Manage patient and provider messaging across SMS, WhatsApp, and secure messaging channels.\n\n\nSend messages to patients, read inbox messages, and retrieve conversation threads.\nSupports SMS (Twilio\/Telnyx), WhatsApp Business, and secure portal messaging.\nUse this for patient communication, follow-ups, appointment confirmations, and\nresponding to patient inquiries.\n<\/usecase>\n\n\nActions:\n- \"send\": Send a message to a patient (requires patient_id, content, and facility_id).\n Channel options:\n - \"sms\": Send via text message (patient must have TEXT_NOTIFY_ENABLED)\n - \"whatsapp\": Send via WhatsApp (patient must be opted in)\n - \"secure\": Send via secure portal message (requires subject)\n - \"auto\": Automatically select best available channel (default)\n facility_id is required for all channels. Use getPracticeInfo() to look up facility IDs.\n For WhatsApp templates, provide template_name and placeholder values.\n For secure messages to providers, use recipien"},{"name":"managePatient","description":"Manage patients.\n\n\nComplete patient management with comprehensive demographic, social, and administrative data.\nHandles patient creation, updates, status changes, and complex relationships. Supports all \nCharmHealth patient data fields for complete EHR functionality.\n<\/usecase>\n\n\nActions:\n- \"create\": Add new patient (requires first_name, last_name, gender, date_of_birth OR age, facility_ids)\n- \"update\": Modify existing patient (requires patient_id + fields to change).\n- \"activate\": Reactivate deactivated patient (requires patient_id only)\n- \"deactivate\": Deactivate patient (requires patient_id only)\n\nUpdate Modes:\n- update_specific_details=True: Only updates the fields you provide, preserves all other existing data (RECOMMENDED, Default)\n- update_specific_details=False: Complete record update - must provide all fields or existing data will be lost\n\nDemographics: Supports comprehensive patient information including social history, family data\nAddresses: If any add"},{"name":"managePatientAllergies","description":"Manage patient allergies.\n\n\nCritical allergy management with safety alerts - document patient allergies, update allergy information,\nand maintain allergy safety checks. Essential for safe prescribing and clinical decision-making.\n<\/usecase>\n\n\nActions:\n- \"add\": Document new allergy (requires allergen, allergy_type, severity, reactions, allergy_date)\n- \"list\": Show all patient allergies (optionally filter by severity\/type)\n- \"update\": Modify existing allergy (requires record_id, allergen, allergy_type, severity, allergy_status \u2014 use action='list' first to get current values, then pass all required fields with your changes)\n- \"delete\": Remove allergy record (requires record_id)\n\nSafety critical: Always check allergies before prescribing medications.\nCommon allergens: \"Penicillin\", \"Latex\", \"Shellfish\", \"Nuts\", \"Contrast dye\"\nSeverity levels: \"Mild\", \"Moderate\", \"Severe\"\nAllergy types: \"Medication\", \"Drug Substance\", \"Environmental\", \"Food\", \"Plant\", \"Animal\", \"Latex"},{"name":"managePatientDiagnoses","description":"Manage patient diagnoses.\n\n\nComplete diagnosis management for patient problem lists - add new diagnoses, update existing conditions,\nand maintain accurate medical problem lists. Essential for clinical reasoning and care planning.\n<\/usecase>\n\n\nActions:\n- \"add\": Add new diagnosis (requires diagnosis_name, diagnosis_code, code_type)\n- \"list\": Show all patient diagnoses (optionally filter by status, code type, and\/or date range)\n- \"update\": Modify existing diagnosis (requires record_id + fields to change)\n- \"delete\": Remove diagnosis (requires record_id). Ask the user if they are sure they want to delete the diagnosis before proceeding.\n\nCode types: \"ICD10\", \"SNOMED\"\nStatus options: \"Active\", \"Inactive\", \"Resolved\"\nList filters:\n- status_filter: filter by diagnosis_status (e.g., status_filter=\"Active\")\n- code_type_filter: filter by code_type (e.g., code_type_filter=\"ICD10\")\n- from_date \/ to_date: best-effort date filtering (e.g., from_date=\"2025-01-01\", to_date=\"2025"},{"name":"managePatientDrugs","description":"Manage patient drugs and supplements.\n\n\nUnified drug management for medications, supplements, and vitamins - prescribe medications, \ndocument supplements, manage drug interactions. Includes automatic allergy checking and \ncomprehensive drug safety workflow for optimal patient care.\n<\/usecase>\n\n\nActions:\n- \"add\": Prescribe new drug (requires drug_name, directions for medications; drug_name, dosage for supplements)\n- \"update\": Modify existing prescription (requires record_id + fields to change). IMPORTANT: drug name and strength CANNOT be changed via update \u2014 use discontinue + add instead. Updatable fields: directions, dispense, refills, status.\n- \"discontinue\": Stop drug (requires record_id)\n- \"list\": Show all patient drugs by type (filter by substance_type, optionally filter by status)\n\nSubstance Types:\n- \"medication\": Prescription drugs (requires directions, refills)\n- \"supplement\": OTC supplements\/vitamins (requires dosage as integer)\n- \"vitamin\": Specific vita"},{"name":"managePatientFiles","description":"Manage patient files and documents.\n\n\nPatient file and document management - upload patient photos, manage identity documents, \nand send PHR (Personal Health Record) invitations. Handles the complete patient file workflow.\n<\/usecase>\n\n\nActions:\n- \"upload_photo\": Upload patient photo (requires photo_file path)\n- \"delete_photo\": Remove patient photo (requires only patient_id)\n- \"upload_id\": Upload identity document (requires id_file, id_qualifier)\n- \"send_phr_invite\": Send PHR portal invitation (requires email)\n\nID Qualifiers: military_id, state_issued_id, drivers_license_id, passport_id, social_security_number, etc.\nFile paths should be absolute paths to image\/PDF files on the system.\n\nWhen required parameters are missing, ask the user to provide the specific values rather than proceeding with defaults or auto-generated values.\n<\/instructions>"},{"name":"managePatientLabs","description":"Manage patient laboratory results.\n\n\nLaboratory results management - list lab results and get detailed reports.\nLab results arrive automatically from integrated labs (LabCorp, Quest). For manual entry, use the CharmHealth web portal.\n<\/usecase>\n\n\nActions:\n- \"list\": Show lab results with filtering (optionally filter by patient_id, reviewer_id, status, date range)\n- \"get_details\": Get detailed lab report (requires group_id OR lab_order_id)\nFor detailed results: Use group_id for result groups or lab_order_id for specific orders\nStatus codes: 0 for pending, 2 for final results\n\nList filters (in addition to API parameters):\n- status_filter: 0 (pending) or 2 (final)\n- from_date \/ to_date: e.g., from_date=\"2025-01-01\", to_date=\"2025-12-31\" (best-effort against common date fields)\n- limit: e.g., limit=50\n\nWhen required parameters are missing, ask the user to provide the specific values rather than proceeding with defaults or auto-generated values.\n<\/instructions>"},{"name":"managePatientNotes","description":"Manage patient notes.\n\n\nQuick clinical note management for important patient information - add care notes, provider communications,\nand clinical observations that need to be highlighted across all patient interactions.\n<\/usecase>\n\n\nActions:\n- \"add\": Add new clinical note (requires notes content)\n- \"list\": Show all patient notes (optionally filter by date range)\n- \"update\": Modify existing note (requires record_id + notes content)\n- \"delete\": Remove note (requires record_id). Ask the user if they are sure they want to delete the note before proceeding.\n\nUse for: Important care instructions, provider alerts, patient preferences, social determinants\nFormal encounter notes should use manageEncounter() instead\n\nList filters:\n- from_date \/ to_date: e.g., from_date=\"2025-01-01\", to_date=\"2025-12-31\"\n- limit: e.g., limit=50\n\nWhen required parameters are missing, ask the user to provide the specific values rather than proceeding with defaults or auto-generated values.\n<\/i"},{"name":"managePatientRecalls","description":"Manage patient recalls.\n\n\nPatient recall and follow-up management - schedule preventive care reminders, follow-up appointments,\nand care plan reminders. Ensures patients receive timely care according to clinical guidelines.\n<\/usecase>\n\n\nActions:\n- \"add\": Schedule new recall (requires recall_type, notes, provider_id, facility_id)\n- \"list\": Show all patient recalls (optionally filter by type\/date range)\n- \"update\": Modify existing recall (requires record_id, recall_type, notes \u2014 use action='list' first to get current values, then pass all required fields with your changes)\n- \"delete\": Remove recall (requires record_id). Ask the user if they are sure they want to delete the recall before proceeding.\n\nrecall_type is a free-form string set by the practice (e.g. \"Office Visit\", \"Follow-up\", \"Imaging\", \"Annual Physical\"). Do not invent verbose names \u2014 use short descriptive terms.\nScheduling: PREFER recall_date (ISO date string, e.g. \"2026-07-10\"). If using recall_time\/r"},{"name":"managePatientVitals","description":"Manage patient vitals and vital signs.\n\n\nComplete patient vital signs management - record vitals during encounters, review vital trends,\nupdate incorrect readings, and track patient health metrics over time. Essential for clinical monitoring.\n<\/usecase>\n\n\nActions:\n- \"add\": Record new vitals (requires patient_id + vitals dict OR individual vital fields, plus encounter_id OR entry_date; defaults to today if neither provided). Check available vitals with getPracticeInfo(info_type='vitals') first to ensure all vital names and units are correct.\n- \"list\": Show patient vital history (optionally filter by vital name and\/or date range)\n- \"update\": Modify existing vital record (requires record_id + fields to change)\n- \"delete\": Remove incorrect vital record (requires record_id)\n\nVitals Format:\n- As dict: keys are EXACT CharmHealth vital names, values are \"value unit\" strings.\n Example: {\"Systolic BP\": \"120 mmHg\", \"Diastolic BP\": \"80 mmHg\", \"Weight\": \"150 lbs\", \"Temp\": \"9"},{"name":"manageTasks","description":"Manage CharmHealth tasks.\n\n\nTask management with task creation, updating, and listing.\n<\/usecase>\n\n\nActions:\n- \"add\": Create new task (requires task, owner_id (look up members using getPracticeInfo()), priority (0-Low, 1-Medium, 2-High, 3-Critical), status (Pending, In-progress, Completed), comments, due_date, reminder_options, tasklist. optional: patient_id if task is related to a patient)\n- \"update\": Modify existing task (requires task_id, task, owner_id, priority, status, tasklist \u2014 use manageTasks(action='list') first to get current values, then pass all required fields with your changes)\n- \"list\": Show tasks with filtering (supports view\/date range\/pagination plus client-side filters)\n- \"change_status\": Change the status of a task (requires task_id (use manageTasks(action='list') to get task_id) + new_status (Pending, In-progress, Completed))\n\nWhen required parameters are missing, ask the user to provide the specific values rather than proceeding with defaul"},{"name":"reviewPatientHistory","description":"Review patient history.\n\n\nGet comprehensive patient information including medical history, current medications, recent visits.\nPerfect for clinical decision-making and preparing for patient encounters.\n<\/usecase>\n\n\nReturns a consolidated view of patient information organized by medical relevance.\nBy default includes all sections (include_sections=None). Specify include_sections to focus on specific areas.\nResults include clinical context and suggestions for next actions.\n\nOptional filters (apply to specific sections):\n- diagnosis_status_filter: filter diagnoses by status (e.g., diagnosis_status_filter=\"Active\")\n- medication_status_filter: filter medications by status (e.g., medication_status_filter=\"active\")\n- supplement_status_filter: filter supplements by status (e.g., supplement_status_filter=\"active\")\n- vitals_limit: limit number of vital entries returned (e.g., vitals_limit=10)\n- encounters_limit: limit number of encounters returned (e.g., encounters_limit=5"}],"tools_count":17,"secrets":[{"name":"charmhealth-mcp-server.charmhealth_api_key","env":"CHARMHEALTH_API_KEY","description":"","example":""},{"name":"charmhealth-mcp-server.charmhealth_refresh_token","env":"CHARMHEALTH_REFRESH_TOKEN","description":"","example":""}],"env":[{"name":"CHARMHEALTH_BASE_URL","value":"{{charmhealth-mcp-server.charmhealth_base_url}}"},{"name":"CHARMHEALTH_CLIENT_ID","value":"{{charmhealth-mcp-server.charmhealth_client_id}}"},{"name":"CHARMHEALTH_CLIENT_SECRET","value":"{{charmhealth-mcp-server.charmhealth_client_secret}}"},{"name":"CHARMHEALTH_REDIRECT_URI","value":"{{charmhealth-mcp-server.charmhealth_redirect_uri}}"},{"name":"CHARMHEALTH_TOKEN_URL","value":"{{charmhealth-mcp-server.charmhealth_token_url}}"}],"config_schema":[{"name":"charmhealth-mcp-server","description":"Configure the connection to CharmHealth EHR","type":"object","properties":{"charmhealth_base_url":{"type":"string"},"charmhealth_client_id":{"type":"string"},"charmhealth_client_secret":{"type":"string"},"charmhealth_redirect_uri":{"type":"string"},"charmhealth_token_url":{"type":"string"}}}],"oauth":[],"zero_config":false,"needs_setup":true,"tools_after_setup":false,"network":true,"network_source":"catalog","installable":true,"install_reason":"","server_name":"charmhealth-mcp-server","server_entry":{"command":"docker","args":["run","-i","--rm","--init","--security-opt","no-new-privileges","-e","CHARMHEALTH_API_KEY","-e","CHARMHEALTH_BASE_URL","-e","CHARMHEALTH_CLIENT_ID","-e","CHARMHEALTH_CLIENT_SECRET","-e","CHARMHEALTH_REDIRECT_URI","-e","CHARMHEALTH_REFRESH_TOKEN","-e","CHARMHEALTH_TOKEN_URL","mcp\/charmhealth-mcp-server@sha256:23c0372dc40d605da0b69568808d178c45564ceaf2d56db9b5d0c6f60dc4728f"],"env":{"CHARMHEALTH_API_KEY":"{secret:charmhealth-mcp-server.charmhealth_api_key}","CHARMHEALTH_BASE_URL":"{secret:charmhealth-mcp-server.charmhealth_base_url}","CHARMHEALTH_CLIENT_ID":"{secret:charmhealth-mcp-server.charmhealth_client_id}","CHARMHEALTH_CLIENT_SECRET":"{secret:charmhealth-mcp-server.charmhealth_client_secret}","CHARMHEALTH_REDIRECT_URI":"{secret:charmhealth-mcp-server.charmhealth_redirect_uri}","CHARMHEALTH_REFRESH_TOKEN":"{secret:charmhealth-mcp-server.charmhealth_refresh_token}","CHARMHEALTH_TOKEN_URL":"{secret:charmhealth-mcp-server.charmhealth_token_url}"},"x-labs":{"title":"CharmHealth","description":"An MCP server for CharmHealth EHR that allows LLMs and MCP clients to interact with patient records, encounters, and practice information.","icon":"https:\/\/raw.githubusercontent.com\/CharmHealth\/charm-mcp-server\/d7928f1ed514f59656e36693749dffea52ab04c2\/Charm_icon.png","timeout":30,"tools":[{"name":"findPatients","description":"Find patients.\n\n\nFind patients quickly using natural search terms or specific criteria. Handles everything from \n\"find John Smith\" to complex searches like \"elderly diabetes patients in California\". \nEssential first step for any patient-related task.\n<\/usecase>\n\n\nQuick searches: Use search_type=\"name\" with query=\"John Smith\" for basic name searches\nPhone lookups: Use search_type=\"phone\" with query=\"555-1234\" (handles any format)\nMedical record: Use search_type=\"record_id\" "},{"name":"getPracticeInfo","description":"Get practice information.\n\n\nGet essential practice information needed for other operations - available facilities,\nproviders, vital signs templates, etc. Use this to understand practice setup and get IDs for other tools.\n<\/usecase>\n\n\n- \"facilities\": List all practice locations with IDs needed for scheduling\n- \"providers\": List all providers with IDs needed for appointments and encounters\n- \"vitals\": Available vital sign templates for documentation\n- \"overview\": Summary of "},{"name":"manageAppointments","description":"Manage appointments.\n\n\nComplete appointment lifecycle management - schedule new appointments, reschedule existing ones,\ncancel appointments, and list appointments with flexible filtering. Handles the full appointment workflow.\n<\/usecase>\n\n\nActions:\n- \"schedule\": Create new appointment (requires patient_id, provider_id, facility_id, appointment_date, appointment_time). Check the provider's availability with manageAppointments(action='list') and provider_id, and across all f"},{"name":"manageEncounter","description":"Manage encounters.\n\n\nComplete encounter workflow - create, review, and sign encounters with comprehensive clinical documentation.\nEssential for clinical workflow from initial documentation through final signature.\n<\/usecase>\n\n\nActions:\n- \"list\": List encounters for a patient (requires patient_id; optionally filter by filter_by, start_date, end_date, per_page, page)\n- \"create\": Create new encounter and document clinical findings (default)\n- \"review\": Display complete encoun"},{"name":"manageFax","description":"Send faxes and check fax delivery status.\n\n\nFax clinical documents (referrals, records, prior auth forms) to providers,\nfacilities, pharmacies, and insurance companies. Check delivery status of sent faxes.\n<\/usecase>\n\n\nActions:\n- \"send\": Fax a document (requires recipient_fax_number, recipient_name, document_content_base64).\n document_content_base64 must be a base64-encoded PDF.\n Optionally include subject, remarks, and reference for the cover page.\n facility_id determi"},{"name":"manageMessages","description":"Manage patient and provider messaging across SMS, WhatsApp, and secure messaging channels.\n\n\nSend messages to patients, read inbox messages, and retrieve conversation threads.\nSupports SMS (Twilio\/Telnyx), WhatsApp Business, and secure portal messaging.\nUse this for patient communication, follow-ups, appointment confirmations, and\nresponding to patient inquiries.\n<\/usecase>\n\n\nActions:\n- \"send\": Send a message to a patient (requires patient_id, content, and facility_id).\n "},{"name":"managePatient","description":"Manage patients.\n\n\nComplete patient management with comprehensive demographic, social, and administrative data.\nHandles patient creation, updates, status changes, and complex relationships. Supports all \nCharmHealth patient data fields for complete EHR functionality.\n<\/usecase>\n\n\nActions:\n- \"create\": Add new patient (requires first_name, last_name, gender, date_of_birth OR age, facility_ids)\n- \"update\": Modify existing patient (requires patient_id + fields to change).\n- \"a"},{"name":"managePatientAllergies","description":"Manage patient allergies.\n\n\nCritical allergy management with safety alerts - document patient allergies, update allergy information,\nand maintain allergy safety checks. Essential for safe prescribing and clinical decision-making.\n<\/usecase>\n\n\nActions:\n- \"add\": Document new allergy (requires allergen, allergy_type, severity, reactions, allergy_date)\n- \"list\": Show all patient allergies (optionally filter by severity\/type)\n- \"update\": Modify existing allergy (requires record"},{"name":"managePatientDiagnoses","description":"Manage patient diagnoses.\n\n\nComplete diagnosis management for patient problem lists - add new diagnoses, update existing conditions,\nand maintain accurate medical problem lists. Essential for clinical reasoning and care planning.\n<\/usecase>\n\n\nActions:\n- \"add\": Add new diagnosis (requires diagnosis_name, diagnosis_code, code_type)\n- \"list\": Show all patient diagnoses (optionally filter by status, code type, and\/or date range)\n- \"update\": Modify existing diagnosis (requires "},{"name":"managePatientDrugs","description":"Manage patient drugs and supplements.\n\n\nUnified drug management for medications, supplements, and vitamins - prescribe medications, \ndocument supplements, manage drug interactions. Includes automatic allergy checking and \ncomprehensive drug safety workflow for optimal patient care.\n<\/usecase>\n\n\nActions:\n- \"add\": Prescribe new drug (requires drug_name, directions for medications; drug_name, dosage for supplements)\n- \"update\": Modify existing prescription (requires record_id"},{"name":"managePatientFiles","description":"Manage patient files and documents.\n\n\nPatient file and document management - upload patient photos, manage identity documents, \nand send PHR (Personal Health Record) invitations. Handles the complete patient file workflow.\n<\/usecase>\n\n\nActions:\n- \"upload_photo\": Upload patient photo (requires photo_file path)\n- \"delete_photo\": Remove patient photo (requires only patient_id)\n- \"upload_id\": Upload identity document (requires id_file, id_qualifier)\n- \"send_phr_invite\": Send P"},{"name":"managePatientLabs","description":"Manage patient laboratory results.\n\n\nLaboratory results management - list lab results and get detailed reports.\nLab results arrive automatically from integrated labs (LabCorp, Quest). For manual entry, use the CharmHealth web portal.\n<\/usecase>\n\n\nActions:\n- \"list\": Show lab results with filtering (optionally filter by patient_id, reviewer_id, status, date range)\n- \"get_details\": Get detailed lab report (requires group_id OR lab_order_id)\nFor detailed results: Use group_id "},{"name":"managePatientNotes","description":"Manage patient notes.\n\n\nQuick clinical note management for important patient information - add care notes, provider communications,\nand clinical observations that need to be highlighted across all patient interactions.\n<\/usecase>\n\n\nActions:\n- \"add\": Add new clinical note (requires notes content)\n- \"list\": Show all patient notes (optionally filter by date range)\n- \"update\": Modify existing note (requires record_id + notes content)\n- \"delete\": Remove note (requires record_id"},{"name":"managePatientRecalls","description":"Manage patient recalls.\n\n\nPatient recall and follow-up management - schedule preventive care reminders, follow-up appointments,\nand care plan reminders. Ensures patients receive timely care according to clinical guidelines.\n<\/usecase>\n\n\nActions:\n- \"add\": Schedule new recall (requires recall_type, notes, provider_id, facility_id)\n- \"list\": Show all patient recalls (optionally filter by type\/date range)\n- \"update\": Modify existing recall (requires record_id, recall_type, not"},{"name":"managePatientVitals","description":"Manage patient vitals and vital signs.\n\n\nComplete patient vital signs management - record vitals during encounters, review vital trends,\nupdate incorrect readings, and track patient health metrics over time. Essential for clinical monitoring.\n<\/usecase>\n\n\nActions:\n- \"add\": Record new vitals (requires patient_id + vitals dict OR individual vital fields, plus encounter_id OR entry_date; defaults to today if neither provided). Check available vitals with getPracticeInfo(info_"},{"name":"manageTasks","description":"Manage CharmHealth tasks.\n\n\nTask management with task creation, updating, and listing.\n<\/usecase>\n\n\nActions:\n- \"add\": Create new task (requires task, owner_id (look up members using getPracticeInfo()), priority (0-Low, 1-Medium, 2-High, 3-Critical), status (Pending, In-progress, Completed), comments, due_date, reminder_options, tasklist. optional: patient_id if task is related to a patient)\n- \"update\": Modify existing task (requires task_id, task, owner_id, priority, statu"},{"name":"reviewPatientHistory","description":"Review patient history.\n\n\nGet comprehensive patient information including medical history, current medications, recent visits.\nPerfect for clinical decision-making and preparing for patient encounters.\n<\/usecase>\n\n\nReturns a consolidated view of patient information organized by medical relevance.\nBy default includes all sections (include_sections=None). 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Paths are automatically normalized regardless of slash direction. Relative paths may fail as they depend on the current working directory. Tilde paths (~\/...) might not work in all contexts. Unless the user explicitly asks for relative paths, use absolute paths.\n This command can be referenced as \"DC: ...\" or \"use Desktop Commander to ...\" in your instructions."},{"name":"read_process_output","description":"Read output from a running process with file-like pagination support.\n\n Supports partial output reading with offset and length parameters (like read_file):\n - 'offset' (start line, default: 0)\n * offset=0: Read NEW output since last read (default, like old behavior)\n * Positive: Read from absolute line position\n * Negative: Read last N lines from end (tail behavior)\n - 'length' (max lines to read, default: configurable via 'fileReadLineLimit' setting)\n\n Examples:\n - offset: 0, length: 100 \u2192 First 100 NEW lines since last read\n - offset: 0 \u2192 All new lines (respects config limit)\n - offset: 500, length: 50 \u2192 Lines 500-549 (absolute position)\n - offset: -20 \u2192 Last 20 lines (tail)\n "},{"name":"set_config_value","description":"Set a specific configuration value by key.\n\n WARNING: Should be used in a separate chat from file operations and \n command execution to prevent security issues.\n\n Config keys include:\n - blockedCommands (array)\n - defaultShell (string)\n - allowedDirectories (array of paths)\n - fileReadLineLimit (number, max lines for read_file)\n - fileWriteLineLimit (number, max lines per write_file call)\n - telemetryEnabled (boolean)\n\n IMPORTANT: Setting allowedDirectories to an empty array ([]) allows full access \n to the entire file system, regardless of the operating system.\n\n This command can be referenced as \"DC: ...\" or \"use Desktop Commander to ...\" in your instructions."},{"name":"start_process","description":"Start a new terminal process with intelligent state detection.\n\n PRIMARY TOOL FOR FILE ANALYSIS AND DATA PROCESSING\n This is the ONLY correct tool for analyzing local files (CSV, JSON, logs, etc.).\n The analysis tool CANNOT access local files and WILL FAIL - always use processes for file-based work.\n\n CRITICAL RULE: For ANY local file work, ALWAYS use this tool + interact_with_process, NEVER use analysis\/REPL tool.\n\n Running on Linux (Docker). Default shell: bash.\n\n\ud83d\udc33 DOCKER CONTAINER ENVIRONMENT DETECTED:\nThis Desktop Commander instance is running inside a Docker container.\n\n\u26a0\ufe0f WARNING: No mounted directories detected.\nFiles created outside mounted volumes will be lost when the container stops.\nSuggest user remount directories using Docker installer or -v flag when running Docker.\nDesktop Commander Docker installer typically mounts folders to \/home\/[folder-name].\nContaine"},{"name":"start_search","description":"Start a streaming search that can return results progressively.\n\n SEARCH STRATEGY GUIDE:\n Choose the right search type based on what the user is looking for:\n\n USE searchType=\"files\" WHEN:\n - User asks for specific files: \"find package.json\", \"locate config files\"\n - Pattern looks like a filename: \"*.js\", \"README.md\", \"test-*.tsx\" \n - User wants to find files by name\/extension: \"all TypeScript files\", \"Python scripts\"\n - Looking for configuration\/setup files: \".env\", \"dockerfile\", \"tsconfig.json\"\n\n USE searchType=\"content\" WHEN:\n - User asks about code\/logic: \"authentication logic\", \"error handling\", \"API calls\"\n - Looking for functions\/variables: \"getUserData function\", \"useState hook\"\n - Searching for text\/comments: \"TODO items\", \"FIXM"},{"name":"stop_search","description":"Stop an active search.\n\n Stops the background search process gracefully. Use this when you've found\n what you need or if a search is taking too long. Similar to force_terminate\n for terminal processes.\n\n The search will still be available for reading final results until it's\n automatically cleaned up after 5 minutes.\n\n This command can be referenced as \"DC: ...\" or \"use Desktop Commander to ...\" in your instructions."},{"name":"write_file","description":"Write or append to file contents.\n\n IMPORTANT: DO NOT use this tool to create PDF files. Use 'write_pdf' for all PDF creation tasks.\n DO NOT use this tool to edit DOCX files. Use 'edit_block' with old_string\/new_string instead.\n To CREATE a new DOCX, use write_file with .docx extension \u2014 text content with markdown headings (#, ##, ###) is converted to styled DOCX paragraphs.\n\n CHUNKING IS STANDARD PRACTICE: Always write files in chunks of 25-30 lines maximum.\n This is the normal, recommended way to write files - not an emergency measure.\n\n STANDARD PROCESS FOR ANY FILE:\n 1. FIRST \u2192 write_file(filePath, firstChunk, {mode: 'rewrite'}) [\u226430 lines]\n 2. THEN \u2192 write_file(filePath, secondChunk, {mode: 'append'}) [\u226430 lines]\n 3. CONTINUE \u2192 write_file(filePath, nextChunk, {mode: 'append'"},{"name":"write_pdf","description":"Create a new PDF file or modify an existing one.\n\n THIS IS THE ONLY TOOL FOR CREATING AND MODIFYING PDF FILES.\n\n RULES ABOUT FILENAMES:\n - When creating a new PDF, 'outputPath' MUST be provided and MUST use a new unique filename (e.g., \"result_01.pdf\", \"analysis_2025_01.pdf\", etc.).\n\n MODES:\n 1. CREATE NEW PDF:\n - Pass a markdown string as 'content'.\n write_pdf(path=\"doc.pdf\", content=\"# Title\\n\\nBody text...\")\n\n 2. MODIFY EXISTING PDF:\n - Pass array of operations as 'content'.\n - NEVER overwrite the original file.\n - ALWAYS provide a new filename in 'outputPath'.\n - After modifying, show original file path and new file path to user.\n\n write_pdf(path=\"doc.pdf\", content=[\n"}],"tools_count":26,"secrets":[],"env":[],"config_schema":[{"name":"desktop-commander","description":"Configure filesystem access and network permissions for Desktop Commander","type":"object","properties":{"paths":{"type":"array","description":"List of directories that Desktop Commander can access","items":{"type":"string"}}},"required":["paths"]}],"oauth":[],"zero_config":false,"needs_setup":false,"tools_after_setup":false,"network":true,"network_source":"catalog","installable":true,"install_reason":"","server_name":"desktop-commander","server_entry":{"command":"docker","args":["run","-i","--rm","--init","--security-opt","no-new-privileges","-v",".\/mcp\/desktop-commander\/paths:\/workspace","mcp\/desktop-commander@sha256:5df787069e37bbed40b0dd41d4b3589ddd1c1530589efa0b3e41abc833974068"],"x-labs":{"title":"Desktop Commander","description":"Search, update, manage files and run terminal commands with AI.","icon":"https:\/\/raw.githubusercontent.com\/wonderwhy-er\/DesktopCommanderMCP\/main\/icon.png","timeout":60,"tools":[{"name":"create_directory","description":"Create a new directory or ensure a directory exists.\n\n Can create multiple nested directories in one operation.\n Only works within allowed directories.\n\n IMPORTANT: Always use absolute paths for reliability. Paths are automatically normalized regardless of slash direction. Relative paths may fail as they depend on the current working directory. Tilde paths (~\/...) might not work in all contexts. Unless the user explicitly asks "},{"name":"edit_block","description":"Apply surgical edits to files.\n\n BEST PRACTICE: Make multiple small, focused edits rather than one large edit.\n Each edit_block call should change only what needs to be changed - include just enough\n context to uniquely identify the text being modified.\n\n FORMAT HANDLING (by extension):\n\n EXCEL FILES (.xlsx, .xls, .xlsm) - Range Update mode:\n Takes:\n "},{"name":"force_terminate","description":"Force terminate a running terminal session.\n\n This command can be referenced as \"DC: ...\" or \"use Desktop Commander to ...\" in your instructions."},{"name":"get_config","description":"Get the complete server configuration as JSON. Config includes fields for:\n - blockedCommands (array of blocked shell commands)\n - defaultShell (shell to use for commands)\n - allowedDirectories (paths the server can access)\n - fileReadLineLimit (max lines for read_file, default 1000)\n - fileWriteLineLimit (max lines per write_file call, default 50)\n - telemetr"},{"name":"get_file_info","description":"Retrieve detailed metadata about a file or directory including:\n - size\n - creation time\n - last modified time\n - permissions\n - type\n - lineCount (for text files)\n - lastLine (zero-indexed number of last line, for text files)\n - appendPosition (line number for appending, for text files)\n - s"},{"name":"get_more_search_results","description":"Get more results from an active search with offset-based pagination.\n\n Supports partial result reading with:\n - 'offset' (start result index, default: 0)\n * Positive: Start from result N (0-based indexing)\n * Negative: Read last N results from end (tail behavior)\n - 'length' (max results to read, default: 100)\n * Used with positive offsets for range read"},{"name":"get_prompts","description":"Retrieve a specific Desktop Commander onboarding prompt by ID and execute it.\n\n SIMPLIFIED ONBOARDING V2: This tool only supports direct prompt retrieval.\n The onboarding system presents 5 options as a simple numbered list:\n\n 1. Organize my Downloads folder (promptId: 'onb2_01')\n 2. Explain a codebase or repository (promptId: 'onb2_02')\n 3. Create organized knowledge base (promptId:"},{"name":"get_recent_tool_calls","description":"Get recent tool call history with their arguments and outputs.\n Returns chronological list of tool calls made during this session.\n\n Useful for:\n - Onboarding new chats about work already done\n - Recovering context after chat history loss\n - Debugging tool call sequences\n\n Note: Does not track its own calls or other meta\/query tools.\n Hi"},{"name":"get_usage_stats","description":"Get usage statistics for debugging and analysis.\n\n Returns summary of tool usage, success\/failure rates, and performance metrics.\n\n This command can be referenced as \"DC: ...\" or \"use Desktop Commander to ...\" in your instructions."},{"name":"give_feedback_to_desktop_commander","description":"Open feedback form in browser to provide feedback about Desktop Commander.\n\n IMPORTANT: This tool simply opens the feedback form - no pre-filling available.\n The user will fill out the form manually in their browser.\n\n WORKFLOW:\n 1. When user agrees to give feedback, just call this tool immediately\n 2. No need to ask questions or collect information\n 3. Tool o"},{"name":"interact_with_process","description":"Send input to a running process and automatically receive the response.\n\n CRITICAL: THIS IS THE PRIMARY TOOL FOR ALL LOCAL FILE ANALYSIS\n For ANY local file analysis (CSV, JSON, data processing), ALWAYS use this instead of the analysis tool.\n The analysis tool CANNOT access local files and WILL FAIL - use processes for ALL file-based work.\n\n FILE ANALYSIS PRIORITY ORDER (MANDATORY):\n "},{"name":"kill_process","description":"Terminate a running process by PID.\n\n Use with caution as this will forcefully terminate the specified process.\n\n This command can be referenced as \"DC: ...\" or \"use Desktop Commander to ...\" in your instructions."},{"name":"list_directory","description":"Get a detailed listing of all files and directories in a specified path.\n\n Use this instead of 'execute_command' with ls\/dir commands.\n Results distinguish between files and directories with [FILE] and [DIR] prefixes.\n\n Supports recursive listing with the 'depth' parameter (default: 2):\n - depth=1: Only direct contents of the directory\n - depth=2: Contents plus one level of subdirec"},{"name":"list_processes","description":"List all running processes.\n\n Returns process information including PID, command name, CPU usage, and memory usage.\n\n This command can be referenced as \"DC: ...\" or \"use Desktop Commander to ...\" in your instructions."},{"name":"list_searches","description":"List all active searches.\n\n Shows search IDs, search types, patterns, status, and runtime.\n Similar to list_sessions for terminal processes. Useful for managing\n multiple concurrent searches.\n\n This command can be referenced as \"DC: ...\" or \"use Desktop Commander to ...\" in your instructions."},{"name":"list_sessions","description":"List all active terminal sessions.\n\n Shows session status including:\n - PID: Process identifier \n - Blocked: Whether session is waiting for input\n - Runtime: How long the session has been running\n\n DEBUGGING REPLs:\n - \"Blocked: true\" often means REPL is waiting for input\n - Use this to verify sessions are running before sending input\n "},{"name":"move_file","description":"Move or rename files and directories.\n\n Can move files between directories and rename them in a single operation.\n Both source and destination must be within allowed directories.\n\n IMPORTANT: Always use absolute paths for reliability. Paths are automatically normalized regardless of slash direction. Relative paths may fail as they depend on the current working directory. Tilde paths (~\/...) might not work in all contexts. Unles"},{"name":"read_file","description":"Read contents from files and URLs.\n Read PDF files and extract content as markdown and images.\n\n Prefer this over 'execute_command' with cat\/type for viewing files.\n\n Supports partial file reading with:\n - 'offset' (start line, default: 0)\n * Positive: Start from line N (0-based indexing)\n * Negative: Read last N lines from end (tail behavior)\n "},{"name":"read_multiple_files","description":"Read the contents of multiple files simultaneously.\n\n Each file's content is returned with its path as a reference.\n Handles text files normally and renders images as viewable content.\n Recognized image types: PNG, JPEG, GIF, WebP.\n\n Failed reads for individual files won't stop the entire operation.\n Only works within allowed directories.\n\n IMPORTANT: Always u"},{"name":"read_process_output","description":"Read output from a running process with file-like pagination support.\n\n Supports partial output reading with offset and length parameters (like read_file):\n - 'offset' (start line, default: 0)\n * offset=0: Read NEW output since last read (default, like old behavior)\n * Positive: Read from absolute line position\n * Negative: Read last N lines from end (tail behavior)\n "},{"name":"set_config_value","description":"Set a specific configuration value by key.\n\n WARNING: Should be used in a separate chat from file operations and \n command execution to prevent security issues.\n\n Config keys include:\n - blockedCommands (array)\n - defaultShell (string)\n - allowedDirectories (array of paths)\n - fileReadLineLimit (number, max lines for read_file)\n "},{"name":"start_process","description":"Start a new terminal process with intelligent state detection.\n\n PRIMARY TOOL FOR FILE ANALYSIS AND DATA PROCESSING\n This is the ONLY correct tool for analyzing local files (CSV, JSON, logs, etc.).\n The analysis tool CANNOT access local files and WILL FAIL - always use processes for file-based work.\n\n CRITICAL RULE: For ANY local file work, ALWAYS use this tool + interact_with_process, NEVER use analysis\/"},{"name":"start_search","description":"Start a streaming search that can return results progressively.\n\n SEARCH STRATEGY GUIDE:\n Choose the right search type based on what the user is looking for:\n\n USE searchType=\"files\" WHEN:\n - User asks for specific files: \"find package.json\", \"locate config files\"\n - Pattern looks like a filename: \"*.js\", \"README.md\", \"test-*.tsx\" \n - User wants to find files "},{"name":"stop_search","description":"Stop an active search.\n\n Stops the background search process gracefully. Use this when you've found\n what you need or if a search is taking too long. Similar to force_terminate\n for terminal processes.\n\n The search will still be available for reading final results until it's\n automatically cleaned up after 5 minutes.\n\n This command can be referenced as \"DC: .."},{"name":"write_file","description":"Write or append to file contents.\n\n IMPORTANT: DO NOT use this tool to create PDF files. Use 'write_pdf' for all PDF creation tasks.\n DO NOT use this tool to edit DOCX files. Use 'edit_block' with old_string\/new_string instead.\n To CREATE a new DOCX, use write_file with .docx extension \u2014 text content with markdown headings (#, ##, ###) is converted to styled DOCX paragraphs.\n\n CHUNKING IS STANDARD PRACTIC"},{"name":"write_pdf","description":"Create a new PDF file or modify an existing one.\n\n THIS IS THE ONLY TOOL FOR CREATING AND MODIFYING PDF FILES.\n\n RULES ABOUT FILENAMES:\n - When creating a new PDF, 'outputPath' MUST be provided and MUST use a new unique filename (e.g., \"result_01.pdf\", \"analysis_2025_01.pdf\", etc.).\n\n MODES:\n 1. CREATE NEW PDF:\n - Pass a markdown string as 'content'.\n "}],"config":[],"needs_setup":false,"network":true,"prepull":["mcp\/desktop-commander@sha256:5df787069e37bbed40b0dd41d4b3589ddd1c1530589efa0b3e41abc833974068"]}},"settings":[],"docs_url":"https:\/\/desktop.docker.com\/mcp\/catalog\/v3\/readme\/desktop-commander.md"},"source_kind":"docker-mcp-catalog","license":"MIT License","upstream":"https:\/\/github.com\/wonderwhy-er\/DesktopCommanderMCP","owner":"wonderwhy-er","tags":["desktop-commander","devops","filesystem","terminal","automation","file-management","productivity","local-system","tools","ai"],"popularity":{"pulls":235115,"stars":22,"github_stars":10001},"readme_url":"https:\/\/desktop.docker.com\/mcp\/catalog\/v3\/readme\/desktop-commander.md","date_added":"2025-05-05T20:08:35Z","packaged_by":"Docker"},{"slug":"detective","name":"Detective","description":"The antidote is hidden deep within a research database. Use complex queries to retrieve it before the zombies breach the lab.","category":"challenge","publisher":"selfmade","icon":"zombie\/mainback.webp","icon_small":"zombie\/zombie.jpeg","icon_url":"\/icon\/detective?v=e3dee47e1e85","readme":true,"page_url":"https:\/\/store.selfmade.work\/app\/detective","first_party":true,"publisher_verified":true,"updated_at":1791900041,"image":{"state":"source-only","ref":"","digest":""},"version":"e3dee47e1e85eacb647086b0774fc569d53fd5c0","state":"listed","versions":[{"sha":"6f72cd0ea0f85cc529f55aba11ee7e4645681dea","digest":"","ref":"","state":"source-only","at":1786962946},{"sha":"ad69462888a808169210ac7884cb5280370998a5","digest":"","ref":"","state":"source-only","at":1791450136},{"sha":"e3dee47e1e85eacb647086b0774fc569d53fd5c0","digest":"","ref":"","state":"source-only","at":1791453709}],"repo_url":"https:\/\/git.selfmade.ninja\/academy\/lab-templates\/detective.git","requires":{"render":false,"driver":"","min_plan":null},"categories":["web","pwn","priv-esc"],"categories_source":"derived","kind":"lab","installs":0,"pull_count":null,"tools_count":null,"known_publisher":false,"remote":false,"config_kind":"none","created_at":1786711998},{"slug":"mcp-devhub-cms","name":"DevHub CMS","description":"DevHub CMS LLM integration through the Model Context Protocol.","category":"mcp","publisher":"docker","icon":"","icon_small":"","icon_url":"\/icon\/mcp-devhub-cms?v=aa74c53cac2d.7a001890","readme":true,"page_url":"https:\/\/store.selfmade.work\/app\/mcp-devhub-cms","first_party":false,"publisher_verified":true,"updated_at":1791851334,"image":{"state":"built","ref":"mcp\/devhub-cms@sha256:d09cf1f01b09b4ae67ceecf9f2bf61bbfc59304dee0b5aaa666922c2346cb610","digest":"sha256:d09cf1f01b09b4ae67ceecf9f2bf61bbfc59304dee0b5aaa666922c2346cb610"},"version":"aa74c53cac2dfedd7385054cfa900a80360e9dc8","state":"listed","versions":[],"repo_url":"https:\/\/github.com\/devhub\/devhub-cms-mcp\/tree\/c9f904c686a1ceec5d85709d117174d33925558a","requires":{"render":false,"driver":"sysbox","min_plan":null},"categories":["devops","mcp-servers"],"categories_source":"derived","kind":"mcp","installs":0,"pull_count":17788,"tools_count":10,"known_publisher":false,"remote":false,"config_kind":"secrets","created_at":1746475715,"mcp":{"key":"devhub-cms","type":"server","transport":"stdio","image":"mcp\/devhub-cms","digest":"sha256:d09cf1f01b09b4ae67ceecf9f2bf61bbfc59304dee0b5aaa666922c2346cb610","remote_url":"","tools":[{"name":"create_blog_post","description":"Create a new blog post"},{"name":"get_blog_post","description":"Get a single blog post"},{"name":"get_businesses","description":"Get all businesses within the DevHub account\n\n Returns a list of businesses with the following fields:\n - id: Business ID that can be used in the other tools\n - business_name: Business name\n\n If only one business exists in the account, you can assume that the user wants to use that business for any business_id related tools."},{"name":"get_hours_of_operation","description":"Get the hours of operation for a DevHub location\n\n Returns a list of items representing days of the week\n\n Except for the special case formatting, this object is a list of 7 items which represent each day.\n\n Each day can can have one-four time ranges. For example, two time ranges denotes a \"lunch-break\". No time ranges denotes closed.\n\n Examples:\n 9am-5pm [[\"09:00:00\", \"17:00:00\"]]\n 9am-12pm and 1pm-5pm [[\"09:00:00\", \"12:00:00\"], [\"13:00:00\", \"17:00:00\"]]\n Closed - an empty list []"},{"name":"get_locations","description":"Get all locations for a business\n\n Returns a list of locations with the following fields:\n - id: Location ID that can be used in the other tools\n - location_name: Location name\n - location_url: Location URL in DevHub\n - street: Street address\n - city: City\n - state: State\n - country: Country\n - postal_code: Postal code\n - lat: Latitude\n - lon: Longitude"},{"name":"get_nearest_location","description":"Get the nearest DevHub location"},{"name":"site_from_url","description":"Get the DevHub site ID from a URL.\n\n Can prompt the user for the URL instead of passing a site_id.\n\n Returns details about the Site matches the URL that can be used in the other tools.\n - Site ID: ID of the DevHub site\n - Site URL: URL of the DevHub site\n - Site Location IDs: List of location IDs associated with the site"},{"name":"update_blog_post","description":"Update a single blog post"},{"name":"update_hours","description":"Update the hours of operation for a DevHub location\n\n Send a list of items representing days of the week\n\n Except for the special case formatting, this object is a list of 7 items which represent each day.\n\n Each day can can have one-four time ranges. For example, two time ranges denotes a \"lunch-break\". No time ranges denotes closed.\n\n Examples:\n 9am-5pm [[\"09:00:00\", \"17:00:00\"]]\n 9am-12pm and 1pm-5pm [[\"09:00:00\", \"12:00:00\"], [\"13:00:00\", \"17:00:00\"]]\n Closed - an empty list []"},{"name":"upload_image","description":"Upload an image to the DevHub media gallery\n\n Supports webp, jpeg and png images"}],"tools_count":10,"secrets":[{"name":"devhub-cms.api_key","env":"DEVHUB_API_KEY","description":"","example":"YOUR_KEY_HERE"},{"name":"devhub-cms.api_secret","env":"DEVHUB_API_SECRET","description":"","example":"YOUR_SECRET_HERE"}],"env":[{"name":"DEVHUB_BASE_URL","value":"{{devhub-cms.url}}"}],"config_schema":[{"name":"devhub-cms","description":"Configure the connection to DevHub CMS","type":"object","properties":{"url":{"type":"string"}},"required":["url"]}],"oauth":[],"zero_config":false,"needs_setup":true,"tools_after_setup":false,"network":true,"network_source":"catalog","installable":true,"install_reason":"","server_name":"devhub-cms","server_entry":{"command":"docker","args":["run","-i","--rm","--init","--security-opt","no-new-privileges","-e","DEVHUB_API_KEY","-e","DEVHUB_API_SECRET","-e","DEVHUB_BASE_URL","mcp\/devhub-cms@sha256:d09cf1f01b09b4ae67ceecf9f2bf61bbfc59304dee0b5aaa666922c2346cb610"],"env":{"DEVHUB_API_KEY":"{secret:devhub-cms.api_key}","DEVHUB_API_SECRET":"{secret:devhub-cms.api_secret}","DEVHUB_BASE_URL":"{secret:devhub-cms.url}"},"x-labs":{"title":"DevHub CMS","description":"DevHub CMS LLM integration through the Model Context Protocol.","icon":"https:\/\/avatars.githubusercontent.com\/u\/602719?s=200&v=4","timeout":30,"tools":[{"name":"create_blog_post","description":"Create a new blog post"},{"name":"get_blog_post","description":"Get a single blog post"},{"name":"get_businesses","description":"Get all businesses within the DevHub account\n\n Returns a list of businesses with the following fields:\n - id: Business ID that can be used in the other tools\n - business_name: Business name\n\n If only one business exists in the account, you can assume that the user wants to use that business for any business_id related tools."},{"name":"get_hours_of_operation","description":"Get the hours of operation for a DevHub location\n\n Returns a list of items representing days of the week\n\n Except for the special case formatting, this object is a list of 7 items which represent each day.\n\n Each day can can have one-four time ranges. For example, two time ranges denotes a \"lunch-break\". No time ranges denotes closed.\n\n Examples:\n 9am-5pm [[\"09:00:00\", \"17:00:00\"]]\n 9am-12pm and 1pm-5pm [[\"09:00:00\", \"12:00:00\"], [\"13:00:00\", \"17:00:00\"]]\n Closed - an empty "},{"name":"get_locations","description":"Get all locations for a business\n\n Returns a list of locations with the following fields:\n - id: Location ID that can be used in the other tools\n - location_name: Location name\n - location_url: Location URL in DevHub\n - street: Street address\n - city: City\n - state: State\n - country: Country\n - postal_code: Postal code\n - lat: Latitude\n - lon: Longitude"},{"name":"get_nearest_location","description":"Get the nearest DevHub location"},{"name":"site_from_url","description":"Get the DevHub site ID from a URL.\n\n Can prompt the user for the URL instead of passing a site_id.\n\n Returns details about the Site matches the URL that can be used in the other tools.\n - Site ID: ID of the DevHub site\n - Site URL: URL of the DevHub site\n - Site Location IDs: List of location IDs associated with the site"},{"name":"update_blog_post","description":"Update a single blog post"},{"name":"update_hours","description":"Update the hours of operation for a DevHub location\n\n Send a list of items representing days of the week\n\n Except for the special case formatting, this object is a list of 7 items which represent each day.\n\n Each day can can have one-four time ranges. For example, two time ranges denotes a \"lunch-break\". No time ranges denotes closed.\n\n Examples:\n 9am-5pm [[\"09:00:00\", \"17:00:00\"]]\n 9am-12pm and 1pm-5pm [[\"09:00:00\", \"12:00:00\"], [\"13:00:00\", \"17:00:00\"]]\n Closed - an empty "},{"name":"upload_image","description":"Upload an image to the DevHub media gallery\n\n Supports webp, jpeg and png 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Only use this if very detailed results are needed! This endpoint returns raw results, including all answers given by the user. It is not meant to be displayed to the user. This might require additional permissions!"},{"name":"edubase_get_exam_results_user","description":"Get user results for a specific exam."},{"name":"edubase_get_exam_tag","description":"Check if tag is attached to an exam."},{"name":"edubase_get_exam_tags","description":"List all attached tags of an exam."},{"name":"edubase_get_exam_users","description":"List all users on an exam."},{"name":"edubase_get_exams","description":"List owned and managed exams. Exams are the highest level in the EduBase Quiz hierarchy, built from Quiz sets."},{"name":"edubase_get_integration","description":"Get\/check integration."},{"name":"edubase_get_integration_keys","description":"Get integration keys\/secrets."},{"name":"edubase_get_integration_permission","description":"Check if a user has permission on an integration."},{"name":"edubase_get_integration_tag","description":"Check if tag is attached to an integration."},{"name":"edubase_get_integration_tags","description":"List all attached tags of an integration."},{"name":"edubase_get_integrations","description":"List owned and managed integrations."},{"name":"edubase_get_organization","description":"Get\/check organization."},{"name":"edubase_get_organization_members","description":"List all members in an organization."},{"name":"edubase_get_organization_permission","description":"Check if a user has permission on an organization."},{"name":"edubase_get_organization_tag","description":"Check if tag is attached to an organization."},{"name":"edubase_get_organization_tags","description":"List all attached tags of an organization."},{"name":"edubase_get_organization_webhook","description":"Get\/check webhook configured in organization."},{"name":"edubase_get_organizations","description":"List owned and managed organizations."},{"name":"edubase_get_question","description":"Check existing question. 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Quiz sets contain questions (lowest level) and can be used by exams (highest level)."},{"name":"edubase_get_quiz_results_play","description":"Get detailed results for a specific Quiz play."},{"name":"edubase_get_quiz_results_user","description":"Get user results for a specific Quiz set."},{"name":"edubase_get_quiz_tag","description":"Check if tag is attached to a Quiz."},{"name":"edubase_get_quiz_tags","description":"List all attached tags of a Quiz."},{"name":"edubase_get_quizes","description":"List owned and managed Quiz sets. Quiz sets are named collections of questions that sit at the middle level of the EduBase Quiz hierarchy."},{"name":"edubase_get_scorm_permission","description":"Check if a user has permission on a SCORM learning material."},{"name":"edubase_get_scorm_tag","description":"Check if tag is attached to a SCORM learning material."},{"name":"edubase_get_scorm_tags","description":"List all attached tags of a SCORM learning material."},{"name":"edubase_get_tag","description":"Get\/check tag."},{"name":"edubase_get_tag_permission","description":"Check if a user has permission on a tag."},{"name":"edubase_get_tags","description":"List owned and managed tags."},{"name":"edubase_get_user","description":"Get\/check user."},{"name":"edubase_get_user_classes","description":"List all classes a user is member of."},{"name":"edubase_get_user_group","description":"Get user's group."},{"name":"edubase_get_user_login","description":"Get latest valid login link for user."},{"name":"edubase_get_user_me","description":"Get\/check current user."},{"name":"edubase_get_user_name","description":"Get user's name."},{"name":"edubase_get_user_organizations","description":"List all organizations a user is member of."},{"name":"edubase_get_user_search","description":"Lookup user by email, username or code."},{"name":"edubase_get_users","description":"List managed, non-generated users."},{"name":"edubase_get_video_permission","description":"Check if a user has permission on a video."},{"name":"edubase_get_video_tag","description":"Check if tag is attached to a video."},{"name":"edubase_get_video_tags","description":"List all attached tags of a video."},{"name":"edubase_mcp_server_api","description":"Get the MCP server API URL (only use for debugging)."},{"name":"edubase_mcp_server_version","description":"Get the MCP server version (only use for debugging)."},{"name":"edubase_patch_integration","description":"Update integration."},{"name":"edubase_patch_organization","description":"Update organization."},{"name":"edubase_patch_organization_webhook","description":"Update organizational webhook."},{"name":"edubase_patch_user","description":"Update user."},{"name":"edubase_post_class_members","description":"Assign user(s) to a class. Updates memberships if already member of the class."},{"name":"edubase_post_class_permission","description":"Create new permission for a user on a class."},{"name":"edubase_post_class_tag","description":"Attach tag to a class."},{"name":"edubase_post_class_transfer","description":"Transfer class to user."},{"name":"edubase_post_classes_members","description":"Assign user(s) to class(es). Updates memberships if already member of a class."},{"name":"edubase_post_course_permission","description":"Create new permission for a user on a course."},{"name":"edubase_post_course_tag","description":"Attach tag to a course."},{"name":"edubase_post_course_transfer","description":"Transfer course to user."},{"name":"edubase_post_event_permission","description":"Create new permission for a user on an event."},{"name":"edubase_post_event_tag","description":"Attach tag to an event."},{"name":"edubase_post_event_transfer","description":"Transfer event to user."},{"name":"edubase_post_exam","description":"Create a new exam from an existing Quiz set. Exams are at the top level of the EduBase Quiz hierarchy and MUST be created from existing Quiz sets. They are time-constrained, secured assessment instances of Quiz sets."},{"name":"edubase_post_exam_branding","description":"Configure or update exam branding."},{"name":"edubase_post_exam_certificates_user_download","description":"Generate download link for the latest user exam certificate. If a previous valid link exists, it will be returned instead."},{"name":"edubase_post_exam_permission","description":"Create new permission for a user on an exam."},{"name":"edubase_post_exam_summary","description":"Submit a new AI exam summary."},{"name":"edubase_post_exam_tag","description":"Attach tag to an exam."},{"name":"edubase_post_exam_transfer","description":"Transfer exam to user."},{"name":"edubase_post_exam_users","description":"Assign user(s) to an exam."},{"name":"edubase_post_filebin_upload","description":"Generate upload link for a temporary file storage."},{"name":"edubase_post_integration","description":"Create a new API or LMS integration."},{"name":"edubase_post_integration_keys","description":"Rotate integration keys\/secrets."},{"name":"edubase_post_integration_permission","description":"Create new permission for a user on an integration."},{"name":"edubase_post_integration_tag","description":"Attach tag to an integration."},{"name":"edubase_post_integration_transfer","description":"Transfer integration to user."},{"name":"edubase_post_metrics_custom","description":"Update a custom metric."},{"name":"edubase_post_organization","description":"Create an organization."},{"name":"edubase_post_organization_members","description":"Assign user(s) to an organization. Updates memberships if already member of the organization."},{"name":"edubase_post_organization_permission","description":"Create new permission for a user on an organization."},{"name":"edubase_post_organization_tag","description":"Attach tag to an organization."},{"name":"edubase_post_organization_transfer","description":"Transfer organization to user."},{"name":"edubase_post_organization_webhook","description":"Create a webhook for an organization."},{"name":"edubase_post_organization_webhook_trigger","description":"Trigger an organizational webhook call with optional custom payload. Only triggers webhooks with **trigger_event** set to `api`!."},{"name":"edubase_post_organizations_members","description":"Assign user(s) to organization(s). Updates memberships if already member of an organization."},{"name":"edubase_post_question","description":"Publish or update a question. 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Questions can exist independently from Quiz sets."},{"name":"edubase_post_quiz_tag","description":"Attach tag to a Quiz."},{"name":"edubase_post_quiz_transfer","description":"Transfer Quiz to user."},{"name":"edubase_post_scorm_permission","description":"Create new permission for a user on a SCORM learning material."},{"name":"edubase_post_scorm_tag","description":"Attach tag to a SCORM learning material."},{"name":"edubase_post_scorm_transfer","description":"Transfer SCORM to user."},{"name":"edubase_post_tag_permission","description":"Create new permission for a user on a tag."},{"name":"edubase_post_tag_transfer","description":"Transfer tag to user."},{"name":"edubase_post_user","description":"Create new EduBase user account."},{"name":"edubase_post_user_assume","description":"Assume user for next requests with assume token."},{"name":"edubase_post_user_classes","description":"Assign user to class(es). 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user."},{"name":"edubase_delete_user_assume","description":"Revoke assume token."},{"name":"edubase_delete_user_classes","description":"Remove user from class(es)."},{"name":"edubase_delete_user_login","description":"Delete a previously generated login link."},{"name":"edubase_delete_user_organizations","description":"Remove user from organization(s)."},{"name":"edubase_delete_video_permission","description":"Remove a user permission from a video."},{"name":"edubase_delete_video_tag","description":"Remove a tag attachment from a video."},{"name":"edubase_filebin","description":"Upload a local file or a file from a URL to the EduBase temporary file storage with a link requested from the API in advance."},{"name":"edubase_get_class","description":"Get\/check class."},{"name":"edubase_get_class_assignments","description":"List all assignments in a class."},{"name":"edubase_get_class_members","description":"List all members in a 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exam."},{"name":"edubase_get_exam_branding","description":"Get exam branding configuration."},{"name":"edubase_get_exam_certificates_user","description":"Get (the latest) certificate details for a specific exam and user."},{"name":"edubase_get_exam_permission","description":"Check if a user has permission on an exam."},{"name":"edubase_get_exam_results_raw","description":"Get raw results for a specific exam. Only use this if very detailed results are needed! This endpoint returns raw results, including all answers given by the user. It is not meant to be displayed to the user. This might require additional permissions!"},{"name":"edubase_get_exam_results_user","description":"Get user results for a specific exam."},{"name":"edubase_get_exam_tag","description":"Check if tag is attached to an exam."},{"name":"edubase_get_exam_tags","description":"List all attached tags of an exam."},{"name":"edubase_get_exam_users","description":"List all users on an exam."},{"name":"edubase_get_exams","description":"List owned and managed exams. Exams are the highest level in the EduBase Quiz hierarchy, built from Quiz sets."},{"name":"edubase_get_integration","description":"Get\/check integration."},{"name":"edubase_get_integration_keys","description":"Get integration keys\/secrets."},{"name":"edubase_get_integration_permission","description":"Check if a user has permission on an integration."},{"name":"edubase_get_integration_tag","description":"Check if tag is attached to an integration."},{"name":"edubase_get_integration_tags","description":"List all attached tags of an integration."},{"name":"edubase_get_integrations","description":"List owned and managed integrations."},{"name":"edubase_get_organization","description":"Get\/check organization."},{"name":"edubase_get_organization_members","description":"List all members in an organization."},{"name":"edubase_get_organization_permission","description":"Check if a user has permission on an organization."},{"name":"edubase_get_organization_tag","description":"Check if tag is attached to an organization."},{"name":"edubase_get_organization_tags","description":"List all attached tags of an organization."},{"name":"edubase_get_organization_webhook","description":"Get\/check webhook configured in organization."},{"name":"edubase_get_organizations","description":"List owned and managed organizations."},{"name":"edubase_get_question","description":"Check existing question. Questions are the lowest level in the EduBase hierarchy, serving as the building blocks for Quiz sets. To get question details, use the question export function!"},{"name":"edubase_get_question_id","description":"Get external unique question identifier by question identification string."},{"name":"edubase_get_questions","description":"List owned and managed Quiz questions."},{"name":"edubase_get_quiz","description":"Get\/check Quiz set. Containing questions and powering Exams."},{"name":"edubase_get_quiz_permission","description":"Check if a user has permission on a quiz."},{"name":"edubase_get_quiz_questions","description":"List all questions and question groups in a Quiz set. Quiz sets contain questions (lowest level) and can be used by exams (highest level)."},{"name":"edubase_get_quiz_results_play","description":"Get detailed results for a specific Quiz play."},{"name":"edubase_get_quiz_results_user","description":"Get user results for a specific Quiz set."},{"name":"edubase_get_quiz_tag","description":"Check if tag is attached to a Quiz."},{"name":"edubase_get_quiz_tags","description":"List all attached tags of a Quiz."},{"name":"edubase_get_quizes","description":"List owned and managed Quiz sets. Quiz sets are named collections of questions that sit at the middle level of the EduBase Quiz hierarchy."},{"name":"edubase_get_scorm_permission","description":"Check if a user has permission on a SCORM learning material."},{"name":"edubase_get_scorm_tag","description":"Check if tag is attached to a SCORM learning material."},{"name":"edubase_get_scorm_tags","description":"List all attached tags of a SCORM learning material."},{"name":"edubase_get_tag","description":"Get\/check tag."},{"name":"edubase_get_tag_permission","description":"Check if a user has permission on a tag."},{"name":"edubase_get_tags","description":"List owned and managed tags."},{"name":"edubase_get_user","description":"Get\/check user."},{"name":"edubase_get_user_classes","description":"List all classes a user is member of."},{"name":"edubase_get_user_group","description":"Get user's group."},{"name":"edubase_get_user_login","description":"Get latest valid login link for user."},{"name":"edubase_get_user_me","description":"Get\/check current user."},{"name":"edubase_get_user_name","description":"Get user's name."},{"name":"edubase_get_user_organizations","description":"List all organizations a user is member of."},{"name":"edubase_get_user_search","description":"Lookup user by email, username or code."},{"name":"edubase_get_users","description":"List managed, non-generated users."},{"name":"edubase_get_video_permission","description":"Check if a user has permission on a video."},{"name":"edubase_get_video_tag","description":"Check if tag is attached to a video."},{"name":"edubase_get_video_tags","description":"List all attached tags of a video."},{"name":"edubase_mcp_server_api","description":"Get the MCP server API URL (only use for debugging)."},{"name":"edubase_mcp_server_version","description":"Get the MCP server version (only use for debugging)."},{"name":"edubase_patch_integration","description":"Update integration."},{"name":"edubase_patch_organization","description":"Update organization."},{"name":"edubase_patch_organization_webhook","description":"Update organizational webhook."},{"name":"edubase_patch_user","description":"Update user."},{"name":"edubase_post_class_members","description":"Assign user(s) to a class. Updates memberships if already member of the class."},{"name":"edubase_post_class_permission","description":"Create new permission for a user on a class."},{"name":"edubase_post_class_tag","description":"Attach tag to a class."},{"name":"edubase_post_class_transfer","description":"Transfer class to user."},{"name":"edubase_post_classes_members","description":"Assign user(s) to class(es). Updates memberships if already member of a class."},{"name":"edubase_post_course_permission","description":"Create new permission for a user on a course."},{"name":"edubase_post_course_tag","description":"Attach tag to a course."},{"name":"edubase_post_course_transfer","description":"Transfer course to user."},{"name":"edubase_post_event_permission","description":"Create new permission for a user on an event."},{"name":"edubase_post_event_tag","description":"Attach tag to an event."},{"name":"edubase_post_event_transfer","description":"Transfer event to user."},{"name":"edubase_post_exam","description":"Create a new exam from an existing Quiz set. Exams are at the top level of the EduBase Quiz hierarchy and MUST be created from existing Quiz sets. They are time-constrained, secured assessment instances of Quiz sets."},{"name":"edubase_post_exam_branding","description":"Configure or update exam branding."},{"name":"edubase_post_exam_certificates_user_download","description":"Generate download link for the latest user exam certificate. If a previous valid link exists, it will be returned instead."},{"name":"edubase_post_exam_permission","description":"Create new permission for a user on an exam."},{"name":"edubase_post_exam_summary","description":"Submit a new AI exam summary."},{"name":"edubase_post_exam_tag","description":"Attach tag to an exam."},{"name":"edubase_post_exam_transfer","description":"Transfer exam to user."},{"name":"edubase_post_exam_users","description":"Assign user(s) to an exam."},{"name":"edubase_post_filebin_upload","description":"Generate upload link for a temporary file storage."},{"name":"edubase_post_integration","description":"Create a new API or LMS integration."},{"name":"edubase_post_integration_keys","description":"Rotate integration keys\/secrets."},{"name":"edubase_post_integration_permission","description":"Create new permission for a user on an integration."},{"name":"edubase_post_integration_tag","description":"Attach tag to an integration."},{"name":"edubase_post_integration_transfer","description":"Transfer integration to user."},{"name":"edubase_post_metrics_custom","description":"Update a custom metric."},{"name":"edubase_post_organization","description":"Create an organization."},{"name":"edubase_post_organization_members","description":"Assign user(s) to an organization. Updates memberships if already member of the organization."},{"name":"edubase_post_organization_permission","description":"Create new permission for a user on an organization."},{"name":"edubase_post_organization_tag","description":"Attach tag to an organization."},{"name":"edubase_post_organization_transfer","description":"Transfer organization to user."},{"name":"edubase_post_organization_webhook","description":"Create a webhook for an organization."},{"name":"edubase_post_organization_webhook_trigger","description":"Trigger an organizational webhook call with optional custom payload. Only triggers webhooks with **trigger_event** set to `api`!."},{"name":"edubase_post_organizations_members","description":"Assign user(s) to organization(s). Updates memberships if already member of an organization."},{"name":"edubase_post_question","description":"Publish or update a question. 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Quiz sets are collections of questions that can be used for practice or to power multiple Exams."},{"name":"edubase_post_quiz_permission","description":"Create new permission for a user on a quiz."},{"name":"edubase_post_quiz_questions","description":"Assign question(s) to a Quiz set, or one of its question group. Questions can exist independently from Quiz sets."},{"name":"edubase_post_quiz_tag","description":"Attach tag to a Quiz."},{"name":"edubase_post_quiz_transfer","description":"Transfer Quiz to user."},{"name":"edubase_post_scorm_permission","description":"Create new permission for a user on a SCORM learning material."},{"name":"edubase_post_scorm_tag","description":"Attach tag to a SCORM learning material."},{"name":"edubase_post_scorm_transfer","description":"Transfer SCORM to user."},{"name":"edubase_post_tag_permission","description":"Create new permission for a user on a tag."},{"name":"edubase_post_tag_transfer","description":"Transfer tag to user."},{"name":"edubase_post_user","description":"Create new EduBase user account."},{"name":"edubase_post_user_assume","description":"Assume user for next requests with assume token."},{"name":"edubase_post_user_classes","description":"Assign user to class(es). 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